9642 Js Jobs - Page 50

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!

ob Description: Location: Noida Experience: 1+year We are looking for a skilled React/NextJs/JS/HTML Developer to join our team. As a React/NextJs/HTML Developer, you will be responsible for developing and maintaining web pages that are visually appealing, user-friendly, and optimized for search engines. Key Responsibilities: Develop custom React and Next.js websites and web applications from scratch or using pre-built components, templates, Figma designs, etc. Collaborate with the design team to ensure that the website or application is visually appealing, functional, and user-friendly. Optimize websites and applications for performance, scalability, and responsiveness across all devices. Stay up-to-date with the latest web development trends, technologies, and best practices, particularly in React and Next.js. Communicate with project managers and clients to understand requirements, provide updates on progress, and deliver features in a timely manner. Work independently or as part of a team to deliver high-quality work on time and within budget. Respect deadlines and plan effectively to ensure quality deliverables within the target dates. Qualifications: Strong experience with React and Next.js development. Proficiency in HTML, CSS, and JavaScript (at least 1.5 year of experience required). Familiarity with modern JavaScript features (ES6+), hooks, and state management libraries like Redux or Context API. Experience with front-end development frameworks and libraries, including Tailwind CSS or Bootstrap. Understanding of server-side rendering (SSR) and static site generation (SSG) in Next.js. Experience with responsive design and cross-browser compatibility. Familiarity with performance optimization techniques (e.g., lazy loading, image optimization, code splitting). Basic understanding of SEO best practices for web applications. Fundamental knowledge of version control systems (e.g., Git) and deployment processes. Experience with hosting platforms like Vercel, Netlify, or any other cloud hosting environment. Excellent problem-solving and debugging skills. A team player with strong communication and interpersonal skills.

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!

Job description Company Overview: Navratan.com is a global leader in certified gemstone e-commerce. We serve premium domestic and international clients through a trusted, performance-driven platform. As we expand our digital footprint, we're seeking a strategic and technically skilled Digital Marketing Manager to drive paid campaign performance, improve website experience, and lead a results-oriented marketing team. Role Objective: To plan, execute, and optimize performance marketing campaigns (Google Ads, Meta Ads), ensure SEO & UI/UX best practices across platforms, and guide the marketing team to meet traffic, lead generation, and revenue targets. Key Responsibilities: Performance Marketing (Google Ads & Meta Ads): Plan, execute, and optimize paid campaigns across Google Ads, Meta (Facebook/Instagram), and YouTube. Create remarketing funnels, custom audiences, and lookalike targeting. Monitor keyword trends, ad relevance, A/B testing, and landing page optimization. Website Development & UI/UX Optimization: Use your developers/designers skills to improve site performance and conversion flow. Implement tracking pixels, heatmaps, UTM structures, and event triggers. Experience with Shopaccino, WordPress, and backend coding (HTML, CSS, JS, PHP). SEO & Organic Growth: Oversee SEO (technical, on-page, off-page) with the team. Ensure page speed, mobile responsiveness, and schema implementation. Monitor rankings and traffic using tools like Google Analytics, Search Console, SEMrush, and Ahrefs. Team Leadership & Collaboration: Manage and mentor a team of digital executives, SEO executives, and writers. Allocate weekly tasks, run performance reviews, and ensure deadlines. Prepare reports and insights for the management team with data-backed strategies. Required Skills & Qualifications: 3+ years of experience in digital marketing with proven team management. Proficient in Google Ads, Meta Ads, YouTube Ads, and PPC strategy. Knowledge of Shopaccino, WordPress, and performance tracking tools. Working understanding of HTML, CSS, JavaScript, or PHP for technical coordination. Strong grasp of SEO fundamentals, Google Analytics, Search Console, and paid media reporting. Excellent communication and leadership skills. Strategic mindset with attention to KPIs and ROI.

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!

Job Title: Node.js Developer Experience: 4–5 Years Location: Technopark, Trivandrum, Kerala Work Mode: Onsite Joining: Within 30 Days (Immediate joiners preferred) Key Responsibilities: Design, develop, and maintain scalable server-side applications using Node.js. Collaborate with cross-functional teams to define and implement new features. Write clean, modular, and reusable code following best practices. Ensure optimal performance and scalability of applications. Integrate APIs and third-party services. Participate in code reviews, testing, and deployment processes. Troubleshoot and resolve application issues and bugs in a timely manner. Required Skills: Strong proficiency in JavaScript and Node.js. Experience with Express.js or similar Node.js frameworks. Good understanding of RESTful APIs, asynchronous programming, and event-driven architecture. Proficiency in working with databases such as MongoDB, MySQL, or PostgreSQL. Experience with version control tools like Git. Knowledge of authentication and authorization mechanisms (OAuth, JWT). Familiarity with CI/CD pipelines and cloud platforms is a plus. Strong debugging, problem-solving, and analytical skills. Preferred Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Experience in Agile/Scrum development environments. Exposure to frontend technologies like React or Angular is a plus. Job Type: Full-time Pay: Up to ₹84,000.00 per month Work Location: In person

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!

This position is for a Technical Project Manager having working experience with UPWORK based company. READ THE DESCRIPTION CAREFULLY BEFORE APPLYING Role and responsibilities: Handling pre sales client calls along with Business analyst to convert the client. Handling and managing on-goin projects. Handling clients calls. Helping the team to understand client's requirement. Delivering projects with in the time limit. Technical Experties: Must have good knowledge of backend technologies like PHP, Node JS, Mern stack etc. Experience Required: At least 1 Years of working experience as a software developer is a must. 2-3 Years of experience in Project Management is a must. Job Type: Full-time Pay: ₹50,000.00 - ₹55,000.00 per month Benefits: Commuter assistance Flexible schedule Leave encashment Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Education: Bachelor's (Preferred) Experience: Software development: 1 year (Preferred) Project management: 2 years (Preferred) Location: Panchkula, Haryana (Required) Work Location: In person

🚀 Kickstart Your Career with TEN! 🚀 The Entrepreneurs Network (TEN) is offering exclusive 3-month internships! This is your chance to gain hands-on experience, enhance your skills, and work with industry professionals. 🔹 Departments Open for Internships: ✅ HR ✅ Finance ✅ Content Writing ✅ Digital Marketing ✅ MERN/MEAN Stack Development ✅ QA Testing ✅ Django Development ✅ React JS Development ✅ Sales 🎯 Why Join TEN? ✨ Gain real-world industry experience ✨ Boost your resume with a Certificate of Completion ✨ Earn a Letter of Recommendation ✨ Stand out for a Potential Promotion 📢 Limited Seats Available – Apply Now! 📩 Send your CV to (ur E-mail) or fill the form https://cutt.ly/be83c0iO #InternshipOpportunity #KickstartYourCareer #Freshers #HiringNow #TEN #Growth #CareerBoost

Skills : JAVA,Springboot, SQL and Hibernate (+ React JS, Node JS) - JAVA FULL STACK Years of experience : 4- 12years Location : Pune, Hyderabad Roles & Responsibilities End to End Development

As an Assistant Professor in Computer Science and Information Science at Intellipaat, you will play a key role in shaping the academic experience of our learners. Your passion for teaching, academic excellence, and commitment to innovation in education will be instrumental in driving the success of our programs. In this role, you will deliver engaging lectures and tutorials, mentor students in their academic projects and research endeavors, and contribute to curriculum design using modern pedagogical methods. You will provide practical exposure to industry-relevant tools and skills, ensuring that our students are well-prepared for the professional world. Additionally, you will actively participate in departmental activities such as exam coordination, paper setting, invigilation, and evaluation of answer scripts. Your involvement in accreditation and quality assurance processes will contribute to enhancing institutional performance and maintaining academic standards. Furthermore, you will have the opportunity to initiate and lead research projects with a focus on innovation and societal impact. Collaborating with academic leadership and fostering interdisciplinary connections both within and outside the institution will be key aspects of your role. To excel in this position, you should hold an M.Tech in Computer Science Engineering or Information Science Engineering with a minimum of 60% marks in both your undergraduate and postgraduate studies. A strong background in teaching or relevant academic experience spanning 14 years is preferred. Proficiency in Python, Data Science, Machine Learning Algorithms, AI, Computer Vision, NLP, and Web development technologies such as HTML, CSS, JS, React, and Node.js (MERN Stack) is essential. Joining Intellipaat offers you the opportunity to work in a rapidly growing EdTech company, where you will be exposed to academic innovation, digital pedagogy, and cutting-edge tech education. You will thrive in a collaborative environment that values research, learning, and leadership development. Continuous career growth is supported through structured faculty training programs and opportunities for upskilling.,