4097 Fastapi Jobs - Page 29

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Mandate Skill set – Core Python Development and real time experience in Azure services (MSSQL, Azure functions, Blob, Queue, EventHub, Key Vault, Cosmos DB, Azure Event Grid / Service Bus, EKS, Assure container instances, Agile, Jira) Experience – 7+years Notice Period – Immediate to 15days Work Location – Remote (Kerala/Tamilnadu/bangalore) Job Purpose (both Onsite / Offshore) We are seeking a Lead Python Developer + Azure to join our dynamic team. The ideal candidate will have a strong background in Python programming. Sound understanding on we application development, with a focus on utilizing Azure services for building scalable and efficient solutions. Responsible for delivering senior-level innovative, compelling, coherent software solutions for our consumer, internal operations, and value chain constituents across a wide variety of enterprise applications through the creation of discrete business services and their supporting components. Job Description / Duties and Responsibilities Design, develop and deliver solutions that meet business line and enterprise requirements. Lead a team of Python developers, providing technical guidance, mentorship, and support in project execution. Participates in rapid prototyping and POC development efforts. Advances overall enterprise technical architecture and implementation best practices. Assists in efforts to develop and refine functional and non-functional requirements. Participates in iteration and release planning. Performs functional and non-functional testing. Informs efforts to develop and refine functional and non-functional requirements. Demonstrates knowledge of, adherence to, monitoring and responsibility for compliance with state and federal regulations and laws as they pertain to this position. Strong ability to produce high-quality, properly functioning deliverables the first time. Delivers work product according to established deadlines. Estimates tasks with a level of granularity and accuracy commensurate with the information provided. Works collaboratively in a small team. Excels in a rapid iteration environment with short turnaround times. Deals positively with high levels of uncertainty, ambiguity, and shifting priorities. Accepts a wide variety of tasks and pitches in wherever needed. Constructively presents, discuss and debates alternatives. Takes shared ownership of the product. Communicates effectively both verbally and in writing. Takes direction from team leads and upper management. Ability to work with little to no supervision while performing duties. Skills and Competencies Architect, design, and implement high-performance and scalable Python back-end applications. Proficient in Python programming language to develop backend services and APIs. Experience with any web frameworks such as FastAPI/Flask/Django for building RESTful APIs. Experience in Azure services such as Azure functions, Blob, Queue, EventHub, Key Vault, Cosmos DB, Azure Event Grid / Service Bus,EKS, Assure container etc Basic understanding on Azure services such as Azure functions, Blob, Queue, EventHub, Key Vault, Cosmos DB, Azure Event Grid / Service Bus,EKS, Assure container etc Knowledge in Implementing authentication and authorization mechanisms using AWS Cognito and other relevant services. Good understanding on databases Including PostgreSQL, MongoDB, AWS Aurora, DynamoDB. Experience in automated CI/CD implementation using terraform is required. Deep understanding of one or more source/version control systems (GIT/Bitbucket). Develops branching and merging strategies. Working understanding of Web API, REST, JSON etc. Working understanding of unit testing creation. Bachelor’s Degree is required, and/or a minimum of four (5) + related work experience. To adhere to the Information Security Management policies and procedures.

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

As an experienced Backend Developer, you will be responsible for designing, developing, and maintaining robust, scalable, and performant backend services using FastAPI, SQLAlchemy, and PostgreSQL. Your role will involve collaborating with cross-functional teams to implement business logic, API endpoints, and database solutions while adhering to comprehensive development standards. Your responsibilities will include: - Designing and developing RESTful APIs using FastAPI following established API standards and best practices - Implementing robust data models and database interactions using SQLAlchemy and PostgreSQL - Developing and maintaining core business logic in service and repository layers - Writing comprehensive unit, integration, and end-to-end tests for all code - Creating clear, detailed documentation for code, APIs, and architectural decisions - Collaborating with frontend developers to define API contracts and integration points - Implementing and maintaining high availability patterns and performance optimizations - Participating in code reviews and providing constructive feedback to peers - Troubleshooting and resolving complex technical issues across the application stack - Contributing to architectural decisions and helping evolve technology standards Required Skills and Experience: - 7+ years of professional experience in backend development - Strong proficiency in Python (3.9+) with a solid understanding of type hints, async/await, and modern Python features - Experience with FastAPI or similar modern Python web frameworks (Django, Flask) - Proficiency with relational databases, particularly PostgreSQL - Working knowledge of SQLAlchemy or similar ORMs - Experience implementing RESTful APIs and understanding API design principles - Strong understanding of software testing approaches (unit, integration, end-to-end) - Familiarity with containerization (Docker) and container orchestration - Experience with Git version control and CI/CD pipelines - Knowledge of secure coding practices and common security vulnerabilities Preferred Qualifications: - Experience with Pydantic for data validation and schema definition - Familiarity with PostgreSQL advanced features (JSONB, full-text search, etc.) - Experience with asynchronous programming in Python - Understanding of infrastructure as code (Terraform, AWS CloudFormation) - Experience with Kubernetes in production environments - Understanding of event-driven architectures and message brokers - Exposure to microservices architecture patterns - Experience with monitoring and observability tools - Contributions to open-source projects Technical Competencies: - Core Python skills - Python 3.9+ features and language constructs - Type hints and static type checking with mypy - Error handling and exception management - Asynchronous programming with asyncio - Documentation using Google-style docstrings - Web Frameworks and APIs - FastAPI application development and organization - API design and RESTful principles - Request validation and response formatting - Authentication and authorization implementation - Performance optimization techniques - Database - PostgreSQL schema design and optimization - SQLAlchemy ORM and Core - Query optimization and performance tuning - Transaction management - Database migrations with Alembic - Testing - Test-driven development practices - Unit testing with pytest - Integration testing for APIs and databases - Mocking and fixtures - Code coverage analysis - DevOps and Infrastructure - Docker containerization - CI/CD pipeline configuration - Infrastructure as code concepts - Monitoring and logging implementation - High availability patterns - Development Standards Expertise - Domain-driven design principles - API-first development approach - Test-driven development - Security by design - Continuous delivery practices - Comprehensive documentation - Code quality and maintainability - Performance optimization - Error handling best practices,

Job Information Company Yubi Date Opened 07/24/2025 Job Type Full time Industry Financial Services City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560034 About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Job Description Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it.In March 2022, we became India's fastest fin tech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises. So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore.Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story Key Responsibilities: Develop and maintain APIs using Node.js and FastAPI for bot orchestration and deployment. Implement and optimize CI/CD pipelines (GitHub, Docker, AWS ECR) for automated bot deployments. Manage and operate Kubernetes clusters (AWS EKS or K3S) for voice bot hosting and scaling. Integrate voice bots with ASR, TTS, and telephony systems (e.g., AWS Connect). Implement real-time monitoring and alerting for bot performance, latency, and system health. Collaborate on ensuring high availability and fault tolerance for 10M+ daily user interactions. Work with the Campaign Management Platform to schedule and execute outbound voice campaigns. Requirements Required Qualifications: 4-5 years of experience in MLOps, DevOps, or a related software engineering role. Strong proficiency in Node.js and Python (FastAPI) for backend development. Strong proficiency in Redis, NATS, Dragonfly, context and cached management. Strong proficiency in MongoDB, SQLite or any database. Solid experience with Docker and containerization. Hands-on experience with Kubernetes (EKS or K3S) for deployment and operations. Practical experience with AWS cloud services (EC2, EKS, ECR, S3, CloudWatch). Experience with CI/CD pipelines. Preferred Qualifications (Added Advantages): Exposure to frontend development (e.g., React). Familiarity with Voice AI Architecture (ASR/TTS/LLM) or telephony systems. Experience with LLM serving frameworks Exposure to campaign management or outbound dialer systems.

Visionify is dedicated to leveraging the potential of Computer Vision and AI for various real-world applications. We are currently seeking a highly skilled, motivated, and enthusiastic Senior Computer Vision Engineer to play a crucial role in implementing our strategic plans. As a Senior Computer Vision Engineer at Visionify, you will be tasked with tackling cutting-edge challenges in the realm of Computer Vision by devising innovative algorithms and optimizations. The majority of our projects revolve around practical applications of Computer Vision, necessitating a strong grasp of contemporary model types such as Classification, Object detection, Object Recognition, OCR, LayoutML, and GAN networks. Proficiency in Pytorch is essential for this role, as it serves as our primary programming language. Familiarity with Azure and Azure ML Studio would be advantageous. Candidates applying for this position should remain abreast of the latest advancements and actively contribute to enhancing the Pytorch project's performance and accuracy. Your expertise in PyTorch and its underlying mechanisms will be pivotal in resolving customer challenges and offering valuable insights into product improvements. Experience in optimizing and streamlining models for deployment on edge devices, as well as converting models to NVIDIA TensorRT, will be highly valued. A strong foundation in Python programming is indispensable, given its widespread use in our organization for developing training and inference pipelines. Effective communication and presentation skills are also crucial. The ideal candidate will exhibit a deep passion for artificial intelligence and a commitment to staying updated on industry trends. **Responsibilities:** - Understanding business objectives and devising Computer Vision solutions that align with these goals, including developing training and inference frameworks and leveraging various ML technologies. - Building and optimizing Pytorch models for different runtime environments, including NVIDIA Jetson TensorRT. - Guiding the development team, addressing their queries, and facilitating the timely completion of their tasks. - Creating ML/Computer Vision algorithms to address specific challenges. - Analyzing and visualizing data to identify potential performance-affecting disparities in data distribution, especially when deploying models in real-world scenarios. - Establishing processes for core team operations, such as data acquisition, model training, and prototype development. - Identifying and utilizing open-source datasets for prototype building. - Developing pipelines for data processing, augmentation, training, inference, and active retraining. - Training models, fine-tuning hyperparameters, and devising strategies to address model errors. - Deploying models for production use. **Requirements:** - Bachelor's or Master's degree in Computer Science, Computer Engineering, IT, or a related field. - Minimum of 5 years of relevant experience; candidates with exceptional skills but less experience are encouraged to apply. - Industry experience in Image & Video Processing, including familiarity with OpenCV, GStreamer, TensorFlow, PyTorch, TensorRT, and various model training/inference techniques. - Proficiency in deep learning classification models (e.g., ResNet, Inception, VGG) and object detection models (e.g., MobileNetSSD, Yolo, FastRCNN, MaskRCNN). - Strong command of Pytorch, Torchvision, and the ability to develop training routines and update models effectively. - Familiarity with Colab, Jupyter Notebook, CUDA/GPU, and CNN visualization techniques like CAM and GradCAM. - Expertise in Computer Vision and real-time video processing methods. - Proficient in Python programming and adept at writing reusable code. - Experience with OpenCV, Scikit packages, NVIDIA platform tools (e.g., Deepstream, TensorRT), Python web frameworks (e.g., Flask, Django, FastAPI), and ML platforms (e.g., PyTorch, TensorFlow). - Knowledge of AWS SageMaker, various databases (e.g., Elasticsearch, SQL, NoSQL, Hive), cloud environments (preferably AWS) for software development, GPU-based training infrastructures, Docker, and DevOps and MLOps best practices for ML systems. **Desired Traits:** - Collaborative mindset and ability to thrive in a team environment. - Adaptability to evolving requirements. - Proclivity for innovative problem-solving. - Strong focus on work quality and developing robust code.,

As an intern at Aryan Security Service, your day-to-day responsibilities will involve designing and implementing RESTful endpoints in Python using FastAPI. You will also be tasked with creating and optimizing relational schemas in PostgreSQL/MySQL and writing efficient SQL queries. It will be your responsibility to write unit and integration tests using tools like PyTest and Jest, actively participate in peer code reviews, and ensure the maintenance of high code quality standards. Additionally, you will be required to maintain clear API documentation, data-flow diagrams, and setup guides in Markdown format. You will be expected to actively engage in daily stand-up meetings, sprint planning sessions, and retrospectives to contribute towards incremental delivery of projects. Another key aspect of your role will be to containerize services using Docker and provide support in configuring CI/CD pipelines, such as GitHub Actions. It is important to note that the technology stack you will be working with includes Python, FastAPI, JavaScript, React.js, PostgreSQL/MySQL, Docker, and Git. As an intern, you will have the opportunity to receive mentorship from experienced FAANG engineers, earn a completion certificate, and obtain a strong letter of recommendation upon successful completion of your internship. Join us at Aryan Security Service, a renowned leader in high-quality security services, as well as housekeeping, facility management, and manpower outsourcing. Our company is highly regarded for its exceptional service quality and ranks among the top service providers in Madhya Pradesh.,

You will be responsible for developing and maintaining high-performance server-side applications in Python following SOLID design principles. You will design, build, and optimize low-latency, scalable applications and integrate user-facing elements with server-side logic via RESTful APIs. Maintaining ETL and Data pipelines, implementing secure data handling protocols, and managing authentication and authorization across systems will be crucial aspects of your role. Additionally, you will ensure security measures and setup efficient deployment practices using Docker and Kubernetes. Leveraging caching solutions for enhanced performance and scalability will also be part of your responsibilities. To excel in this role, you should have strong experience in Python and proficiency in at least one Python web framework such as FastAPI or Flask. Familiarity with ORM libraries, asynchronous programming, event-driven architecture, and messaging tools like Apache Kafka or RabbitMQ is required. Experience with NoSQL and Vector databases, Docker, Kubernetes, and caching tools like Redis will be beneficial. Additionally, you should possess strong unit testing and debugging skills and the ability to utilize Monitoring and Logging frameworks effectively. You should have a minimum of 1.5 years of professional experience in backend development roles with Python. Your expertise in setting up efficient deployment practices, handling data securely, and optimizing application performance will be essential for success in this position.,

As a Junior Python Developer at our company, you will have the opportunity to utilize your 2-3 years of experience in Python development to contribute to our team based in Chennai. With a budget of 7LPA and a notice period of 15 days, you will be expected to showcase your skills in Python development, astAPI or similar Python web frameworks, PostgreSQL, MongoDB, Git, and troubleshooting. Your primary responsibilities will include developing and maintaining Python scripts for automating tasks and supporting internal operations. You will also assist in building Python applications using FastAPI and other web technologies while contributing to the management and optimization of scripts for efficient data loads. Collaboration with senior developers and cross-functional teams to implement features and services will be a key aspect of your role. Participating in code reviews to ensure adherence to best coding practices, debugging and troubleshooting application issues, and contributing to testing and validating code for functionality and performance will be essential tasks. Additionally, documenting development work, processes, and code changes will help in maintaining transparency and continuity within the team. Furthermore, as a Junior Python Developer, you will be encouraged to continuously learn and stay updated with emerging technologies and industry trends to enhance your skills and contribute effectively to the growth and success of the team.,