227 Dialogflow Jobs - Page 9

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services. Roles & Responsibilities: - Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services. - Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs. - Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products. - Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities. - Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments. - Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle. - Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform. - Expertise in Dialogflow CX, Agent Assist, and other CCAI tools. - Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks. - Strong architecture and solution design experience within GCP ecosystem. - Hands-on experience in building and optimizing production-ready chatbots and voice applications. - Excellent problem-solving, communication, and leadership skills. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 year full time education is required 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline. - Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques. - Experience with chatbot, generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 year full time education is required 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline. - Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques. - Experience with chatbot, generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot , generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required 15 years full time education

Role & responsibilities Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. Qualifications 4+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 4+ years of experience in IVR application development, including Nuance grammar development, GRAT, and GRE. Proficiency in Core Java, Java/J2EE, Servlets, JSP, and REST-based microservices. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools, and Genesys Composer. Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Experience with the Spring framework and familiarity with Tomcat or similar web servers. Bachelors degree in a technology-related field or equivalent professional experience.

Key Skills - Python Data Engineering Mysql Java AWS git Excel Linux (Server) Copilot Studio Data Analysis Dialog flow Kore.ai Five9 Power Automate (RPA) Conversational Ai NLP Role & Responsibilities - Design and develop high-quality conversational bots using Google Dialogflow, Yellow.ai, and Kore.ai platforms. - Implement custom scripting and integration with third-party services to enhance bot functionality. - Provide technical support and documentation for developed bots - Adhere to laws, regulations, company policies, procedures, internal and external Standards • Attend recurrent trainings published by the Client/Company on a regular basis Preferred candidate profile BPO Background

Google BigQuery Location- Pan India Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Key Responsibilities : Analyze and model client market and key performance data Use analytical tools and techniques to develop business insights and improve decisionmaking \n1:Data Proc PubSub Data flow Kalka Streaming Looker SQL No FLEX\n2:Proven track record of delivering data integration data warehousing soln\n3: Strong SQL And Handson Pro in BigQuery SQL languageExp in Shell Scripting Python No FLEX\n4:Exp with data integration and migration projects Oracle SQL Technical Experience : Google BigQuery\n\n1: Expert in Python NO FLEX Strong handson knowledge in SQL NO FLEX Python programming using Pandas NumPy deep understanding of various data structure dictionary array list tree etc experiences in pytest code coverage skills\n2: Exp with building solutions using cloud native services: bucket storage Big Query cloud function pub sub composer and Kubernetes NO FLEX\n3: Pro with tools to automate AZDO CI CD pipelines like ControlM GitHub JIRA confluence CI CD Pipeline Professional Attributes :

Role & responsibilities Develop robust and scalable conversational AI chatbots tailored to specific requirements. Collaborate with cross-functional teams to gather requirements, design conversational flows, and implement natural language processing (NLP) algorithms. Design and integrate chatbots with various platforms and applications, ensuring seamless user experiences. Stay updated with the latest advancements in NLP and AI technologies, implementing cutting-edge techniques into chatbot development. Conduct rigorous testing and debugging of chatbot functionalities to ensure high performance and accuracy. Optimize chatbot responses based on user interactions, feedback, and data analysis. Work closely with UX/UI designers to create visually appealing and user-friendly chatbot interfaces. Provide technical guidance and support to internal teams regarding chatbot integration and customization. Document chatbot development processes, algorithms, and code for future reference and collaboration. Collaborate with stakeholders to understand business requirements and translate them into technical specifications for chatbot development Mandatory skills Strong programming skills in languages such as JSON, Microsoft Azure, Python, Java, JavaScript, etc. In-depth knowledge of natural language processing (NLP) algorithms and frameworks (e.g., NLTK, spaCy, TensorFlow). Experience with chatbot development platforms and tools (e.g., Kore.ai, Yellow.ai, Dialogflow, Microsoft Bot Framework, IBM Watson). Proficiency in integrating chatbots with APIs and other 3rd party applications. Familiarity with machine learning techniques and algorithms. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a global team environment. Strong communication skills to convey technical concepts effectively to non-technical people. Experience with version control systems (e.g., Git) and collaborative development practices. Experience with testing and quality control. Preferred Skills NLTK, spaCy, TensorFlow education : BTECH / BE , MCA , MTECH years of experience : 4 to 8 years

What you will do:- • Responsible for developing customer service solutions using RPA, AI, Email/Chat bot, IVR. Optimize processes and workflows to enhance operational efficiency and effectiveness. Analyzing audit controls and governance frameworks to ensure compliance and risk mitigation. • Identify areas for performance improvement and execute initiatives to drive results on FCR, CSAT & NPS. Supporting customer experience product management for CRM, Telephony, Ticketing & Backoffice tools to enhance satisfaction and loyalty. Developing comprehensive reports, track key performance indicators, and deliver impactful presentations. Collaborating with cross-functional teams to implement transformation projects successfully. To provide advice and guidance at regional/divisional level and effectively manage a team of professionals and/or subject matter experts. Responsibilities may include interfacing with corporate level management. You will be a great fit if you have: • Strong background in automation, process improvement • Proficiency in architecting customer journeys on digital channels • Experience in improving customer experience and enhancing satisfaction with digital service. • Excellent reporting, tracking, and presentation skills to communicate effectively with stakeholders. • Ability to work collaboratively in a team environment and drive change within the organization. • Analytical Skills; Design thinking, Digital drive, Influencing & Persuasion Skills; Leadership Skills; Presentation Skills; Problem Solving Skills Technical requirement 1. OMNI CHANNEL CRM 2. AI 3. ML 4. RPA 5. PROCESS ENGINEERING 6. DIGITALIZATION 7. CHAT BOT 8. IVR 9. TELEPHONY SYSTEMS 10. CUSTOMER EXPERIENCE AGENT. 11. WhatsApp for Service

Job Description Role: Sr. Conversation Bot Engineer Work location: Mumbai & Bangalore Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs well as support activities for the corporate systems architecture. You are required to work closely with business partners in defining requirements for system applications. You must typically have in-depth knowledge of analyzing data, developing chatbot, automation to handle data and work with data refinement tools . Understanding business requirements and coming up with optimum and best to the market solutions. Required Skills: Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Strong written communication skills Ability to learn latest technologies Good problem-solving ability Nice to have skills: Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus Experience in Test Driven Development & Agile methodologies Knowledge of creating an end to end pipeline for development of AI based conversational applications Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns Ability to write regular expressions for data cleaning and preprocessing Understanding of API integrations, Single-Sign-on and token-based authentication Develop unit test cases as per project specific standards Experience with HTTP, Sockets, REST and other web services Perform keyword and topic extraction from chat logs Knowledge of training and tuning topic modelling algorithms like LDA and NMF Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric Knowledge of frameworks like nltk and spacy Ability to write

Full Stack Developer(NextJS/Fastjs) Experience: 3 - 5 Years Exp Salary : USD 18,000-30,000 / year Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : CI/CD, Dialogflow, fastjs, GraphQL, Next.js, oauth, Restful APIs Good to have skills : Chatbot Analytics, headless cms, Firebase, GCP, NLP, TypeScript Steer Health (One of Uplers' Clients) is Looking for: Full Stack Developer(NextJS/Fastjs) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Full stack Developer About the Role We're seeking a passionate and skilled Full Stack Developer with strong experience in Next.js, GraphQL, FastJS, and Dialogflow to join our growing team. In this role, you'll be building scalable web applications and intelligent conversational interfaces that deliver exceptional user experiences. Key Responsibilities Design, develop, test, and maintain robust frontend and backend features using Next.js, GraphQL, and FastJS Integrate Dialogflow conversational flows with backend services and third-party APIs Collaborate closely with UI/UX designers and backend engineers to bring wireframes and APIs to life Optimize performance and ensure a seamless user experience across devices and browsers Write clean, maintainable, and scalable code following industry best practices Participate in code reviews, daily stand-ups, and agile ceremonies Implement and uphold application security and data protection standards Must-Have Skills 3+ years of hands-on experience in full stack web development Deep expertise in Next.js, including SSR, ISR, and API routes Strong working knowledge of GraphQL and FastJS Proven experience with Dialogflow (CX/ES) and backend service integrations Solid understanding of RESTful APIs, Webhooks, and asynchronous data flows Proficient with Git, Docker, and CI/CD pipelines Familiarity with modern authentication methods (OAuth, JWT, etc.) Nice-to-Have Skills Experience with TypeScript Exposure to Cloud Functions, Google Cloud Platform (GCP), or Firebase Familiarity with chatbot analytics and NLP tuning Experience with headless CMS or modern content platforms Benefits Competitive salary and benefits Flexible working hours and remote-friendly culture Opportunities to work with cutting-edge AI and web technologies A supportive, collaborative, and inclusive team environment Continuous learning and career growth opportunities Engagement Model- Direct Contract with client This is remote Role. Shift Timing-10 AM-7 PM IST Interview Rounds 3 rounds How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Steer Health transforms healthcare with the industry's most widely adopted Al-fueled patient experience and growth. At Steer Health, we're creating next-generation consumer engagement experiences with solutions spanning care communication, patient engagement, scheduling, smart notifications, and more. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

AI Data Engineer Experience: 3 - 5 Years Exp Salary : USD 18,000-30,000 / year Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Dialogflow, FastAPI, LLMs, Pytorch, Python Good to have skills : Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow Steer Health (One of Uplers' Clients) is Looking for: AI Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. Youll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If youre passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities -FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. - Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. - Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. - Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. - Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. - Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. - Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications - 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. - Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. - Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. - Experience integrating Dialogflow or similar platforms for conversational AI. - Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. - Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). - Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications - Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). - Contributions to open-source AI/healthcare projects. - Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? - Impact: Your work will directly enhance healthcare delivery for millions of patients. - Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. - Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. - Culture: Collaborative, mission-driven team with flexible work policies. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Steer Health transforms healthcare with the industry's most widely adopted Al-fueled patient experience and growth. At Steer Health, we're creating next-generation consumer engagement experiences with solutions spanning care communication, patient engagement, scheduling, smart notifications, and more. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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: 3.00 + years Salary: USD 18000-30000 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. 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 ResumeStep 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: 3.00 + years Salary: USD 18000-30000 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. 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 ResumeStep 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: 3.00 + years Salary: USD 18000-30000 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. 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 ResumeStep 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: 3.00 + years Salary: USD 18000-30000 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. 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 ResumeStep 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: 3.00 + years Salary: USD 18000-30000 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. 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 ResumeStep 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: 3.00 + years Salary: USD 18000-30000 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. 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 ResumeStep 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: 3.00 + years Salary: USD 18000-30000 / year (based on experience) Expected Notice Period: 15 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote Placement Type: Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. 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 ResumeStep 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!

We are seeking a Senior Solution Consultant with 6-10 years of experience in API integration, chatbot development, and data analysis tools. The role involves designing solutions, managing virtual assistants' architecture, gathering business requirements, and leading end-to-end delivery. The candidate should have experience in APIs like OData, REST, SOAP, as well as tools like Postman, Excel, and Google Sheets. Familiarity with NoSQL databases such as MongoDB, natural language processing, chatbot platforms (Dialogflow, Microsoft Bot Framework), and analytical tools like Power BI, Tableau, or Grafana is essential. The consultant will work closely with cross-functional teams, mentor other consultants, and ensure seamless integration with customer systems. Skills : - API Integration, Chatbot Development, OData, REST, Node.js, MongoDB, API Integration, Chatbot Development, OData, REST, SOAP, Node.js, Postman, Google Sheets, MongoDB, Power BI, Tableau, Grafana, Natural Language Processing, Microsoft Bot Framework, Dialogflow, Data Analysis

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications. Perks and benefits: Mention available facilities and benefits the company is offering with this job.

About The Role : Design, build, and deploy conversational AI applications using Google Cloud CCAI and DialogFlow. Develop chatbots, virtual assistants, and automated voice response systems to improve customer interactions across multiple channels (web, mobile, IVR, etc.). Work with stakeholders to understand business requirements and translate them into AI-driven solutions. Train and fine-tune natural language processing (NLP) models to ensure high accuracy and improved customer interactions. Integrate AI chatbots and voice bots with backend systems, CRM tools, and other business applications. Collaborate with product, engineering, and UX teams to design intuitive and effective conversational experiences. Continuously monitor and evaluate the performance of conversational AI systems, gathering insights to optimize and refine AI models. Stay up-to-date with the latest advancements in conversational AI, NLP, and cloud technologies to drive innovation in the development of AI applications. Provide technical guidance and support to teams implementing and scaling CCAI and DialogFlow solutions. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. About The Role :- Grade Specific Design, build, and deploy conversational AI applications using Google Cloud CCAI and DialogFlow. Develop chatbots, virtual assistants, and automated voice response systems to improve customer interactions across multiple channels (web, mobile, IVR, etc.). Work with stakeholders to understand business requirements and translate them into AI-driven solutions.

Primary Skills Proven experience with Google DialogFlow and conversational AI technologies. Strong understanding of NLP principles and techniques. Create, build, and optimize conversational agents using Google DialogFlow. Develop and implement intents, entities, and fulfillment integrations. Proficiency in programming languages such as Python, JavaScript, or Node.js. Experience with API integrations and webhooks. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Secondary Skills Proven experience with Google DialogFlow and conversational AI technologies. Strong understanding of NLP principles and techniques. Create, build, and optimize conversational agents using Google DialogFlow.