Full Stack Engineer (Python AI/ML & Healthcare)

🏢 Summary: The role involves designing and building GenAI-powered services in healthcare using Python, focusing on creating RAG-based LLM agents and deploying scalable solutions on AWS. The engineer will develop, deploy and maintain AI agents with proper monitoring, guardrails and data compliance. The position requires strong full-stack and AI expertise to deliver reliable, production-ready intelligent systems. 🗂️ Requirements: 5+ years of Python or ReactJS development experience, Recent hands-on experience with LLM or GenAI projects, Hands-on expertise with LangChain, LangGraph or similar frameworks, Understanding of agentic design patterns (tools, planners, memory), Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to deploy solutions on AWS 📃 Skills: Python, ReactJS, LangChain, LangGraph, LLM, GenAI, RAG, AWS, Docker, Git, CI/CD, Testing, Embeddings, VectorDB, Prompting 🏢 Description: We are seeking a Senior Python AI Engineer (Full Stack) to design and build intelligent GenAI-powered services that solve real business challenges in the healthcare space. In this role, you will develop Python services that power GenAI agents, create retrieval-augmented generation flows, and deploy scalable solutions on AWS while collaborating with cross-functional teams to deliver reliable and safe AI experiences. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Create retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaborate with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 5+ years of experience in Python or ReactJS development, with recent focus on LLM or GenAI projects Hands-on expertise in LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Familiarity with AI-assisted development tools (e.g., Cursor, GitHub Copilot, Code Interpreter) to accelerate prototyping and code reviews Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Background in integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review, or safety tooling AWS or Python certifications We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior / Staff Full Stack Engineer role focused on building and scaling an AI-driven product platform in a fully remote setup. The position involves developing React/TypeScript frontend experiences and Python-based backend APIs to support document processing, retrieval systems, and structured AI/ML outputs. The engineer will integrate frontend, backend, and AI workflows into a reliable, testable product experience. 🗂️ Requirements: 5+ years full stack engineering experience, Strong Python backend API development experience, Strong React and TypeScript production experience, Experience with modern API frameworks (e.g. FastAPI), Experience designing and consuming API contracts and structured JSON, Experience with asynchronous workflows and background jobs, Testing experience covering edge cases and API behavior, Understanding of AI/ML product workflows 📃 Skills: Python, React, TypeScript, FastAPI, API, JSON, AI, ML, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior / Staff Full Stack Engineer with strong Python and React experience to build and scale an AI driven product platform in a fully remote setup. The role focuses on frontend experiences, backend APIs, document processing, retrieval systems, and structured AI / ML outputs. ✅ Your responsibilities: Building frontend experiences in React and TypeScript for evidence review, workflow status, recommendations, and decision outputs. Developing backend APIs in Python, ideally with FastAPI, for document upload, asynchronous processing, job status, retries, partial success, and structured results. Connecting frontend, backend, data workflows, retrieval systems, and AI generated outputs into a reliable product experience. Building product features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states. Working with structured data, documents, tables, financial metrics, and normalized evidence flows. Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: 5+ years of professional full stack engineering experience. Strong experience with Python and backend API development. Strong experience with React and TypeScript in production applications. Experience with modern API frameworks, ideally FastAPI or similar. Understanding of AI / ML product workflows or strong interest in building software around AI outputs. Experience designing and consuming API contracts, schemas, and structured JSON payloads. Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status. Good testing habits, especially around edge cases, failure cases, and API behavior. ⭐ Nice to Have: Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic/Claude. Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence. Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j. 🌟 What we offer: 100% remote work Opportunity to work on modern ML/AI infrastructure Private healthcare and Multisport Life insurance Real influence on technical decisions and architecture Exposure to cutting-edge technologies Collaborative and supportive team environment

🏢 Summary: Remote Senior FullStack Developer role focused on building and scaling end-to-end AI applications, agentic workflows, and modern front-end interfaces. The position involves designing AI-driven solutions, optimizing system architecture, and integrating LLM-based systems into production environments. You will work on data-heavy applications and enterprise automation within a fully remote project in Poland. 🗂️ Requirements: 5+ years of experience with Python for data-heavy or AI-integrated applications, Strong experience with Django, Flask or FastAPI, Strong mastery of Vanilla JavaScript, Hands-on experience with AngularJS and knowledge of migration to modern Angular, Experience building agentic AI systems and autonomous LLM-based workflows, Practical knowledge of LangChain, LlamaIndex and RAG, Experience with AI agent orchestration frameworks, Commercial experience with GCP or AWS, Proven experience with Google AppScript for enterprise automation, Strong understanding of RESTful APIs, Experience with asynchronous programming, Experience with end-to-end agentic workflows, Hands-on experience with GenAI technologies such as Gemini, Copilot or Claude 📃 Skills: Python, Django, Flask, FastAPI, JavaScript, AngularJS, Angular, LangChain, LlamaIndex, RAG, LLM, GCP, AWS, AppScript, REST, GenAI, Gemini, Copilot, Claude 🏢 Description: This is a remote position. As a Senior FullStack Developer at Virtusa , you will build and scale end-to-end AI applications, integrate automated workflows, and design intuitive front-end interfaces. You will diagnose architectural bottlenecks, propose AI-driven optimizations, and communicate directly with stakeholders to turn complex requirements into functional code. This is a fully remote project within Poland. Requirements At least 5 years of experience with Python (Django, Flask, or FastAPI), specifically for data-heavy or AI-integrated applications. Strong mastery of Vanilla JavaScript and hands-on experience with Angular JS (and familiarity with the migration path to modern Angular). Hands-on experience building agentic AI systems and autonomous workflows based on LLMs. Strong practical knowledge of: LangChain, LlamaIndex, RAG, AI agent orchestration frameworks. Commercial cloud experience: GCP (preferred) or AWS AppScript Expertise: Proven experience using Google AppScript for enterprise automation or custom add-ons. API Design: Deep understanding of RESTful APIs and asynchronous programming. Experience in end to end agentic workflows Strong experience in using Gen AI technologies : Gemini, co-pilot, claude AI Benefits Professional training programs Work with a team that is recognized for its excellence. We have been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We have also received the Great Place To Work® certification for seven years in a row

🏢 Summary: Remote Senior FullStack Developer role focused on building and scaling end-to-end AI applications with agentic workflows and intuitive front-end interfaces. The position involves designing AI-driven optimizations, integrating LLM-based systems, and developing data-heavy backend services. The role requires close collaboration with stakeholders to translate complex requirements into production-ready solutions. 🗂️ Requirements: Minimum 5 years of experience with Python (Django, Flask, or FastAPI), Experience building data-heavy or AI-integrated applications, Strong proficiency in Vanilla JavaScript, Hands-on experience with AngularJS and knowledge of migration to modern Angular, Experience building agentic AI systems based on LLMs, Practical knowledge of LangChain, LlamaIndex, RAG, and AI orchestration frameworks, Commercial cloud experience with GCP or AWS, Proven experience with Google AppScript for enterprise automation, Strong understanding of RESTful APIs, Experience with asynchronous programming, Experience designing end-to-end agentic workflows, Hands-on experience with Generative AI tools such as Gemini, Copilot, or Claude 📃 Skills: Python, Django, Flask, FastAPI, JavaScript, AngularJS, Angular, LangChain, LlamaIndex, RAG, LLM, GCP, AWS, AppScript, REST, Gemini, Copilot, Claude 🏢 Description: This is a remote position. As a Senior FullStack Developer at Virtusa , you will build and scale end-to-end AI applications, integrate automated workflows, and design intuitive front-end interfaces. You will diagnose architectural bottlenecks, propose AI-driven optimizations, and communicate directly with stakeholders to turn complex requirements into functional code. This is a fully remote project within Poland. Requirements At least 5 years of experience with Python (Django, Flask, or FastAPI), specifically for data-heavy or AI-integrated applications. Strong mastery of Vanilla JavaScript and hands-on experience with Angular JS (and familiarity with the migration path to modern Angular). Hands-on experience building agentic AI systems and autonomous workflows based on LLMs. Strong practical knowledge of: LangChain, LlamaIndex, RAG, AI agent orchestration frameworks. Commercial cloud experience: GCP (preferred) or AWS AppScript Expertise: Proven experience using Google AppScript for enterprise automation or custom add-ons. API Design: Deep understanding of RESTful APIs and asynchronous programming. Experience in end to end agentic workflows Strong experience in using Gen AI technologies : Gemini, co-pilot, claude AI Benefits Professional training programs Work with a team that is recognized for its excellence. We have been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We have also received the Great Place To Work® certification for seven years in a row

🏢 Summary: The role involves architecting and deploying advanced AI-driven applications using Azure AI services and modern generative AI frameworks. The position focuses on building scalable knowledge retrieval systems, intelligent AI agents, and integrating AI capabilities into existing products. It requires strong expertise in cloud-native, containerized, and MLOps-driven environments. 🗂️ Requirements: Practical experience with Azure AI ecosystem, Experience with GitHub and DevOps methodologies, Strong programming skills in Python, Hands-on experience with embeddings and text chunking, Experience with vector search solutions, Experience with FastAPI and Pydantic, Experience with pymongo and Azure SDKs, Experience designing scalable AI systems, Experience building document processing pipelines, Experience with cloud-native infrastructures 📃 Skills: Azure, AzureOpenAI, AzureDocumentIntelligence, OCR, LangChain, RAG, CAG, MongoDB, PostgreSQL, Python, FastAPI, Pydantic, pymongo, Docker, GitHub, DevOps, MLOps, Embeddings, VectorSearch, JSON 🏢 Description: We are looking for a skilled AI Full-Stack Developer to architect, implement, and deploy advanced AI-driven applications. The ideal candidate will work with Azure AI services, MongoDB Atlas, LangChain-based workflows, RAG/CAG frameworks, and containerized environments (Docker), while leveraging modern AI agent technologies. Key Responsibilities Design and implement Generative AI solutions using Azure OpenAI, Azure Document Intelligence, OCR capabilities, and other Azure cloud services. Work closely with front-end and back-end teams to seamlessly embed AI functionalities into existing systems. Review and maintain high-quality code for AI service integrations, ensuring best practices and performance standards are met. Create scalable knowledge retrieval systems using LangChain, RAG/CAG approaches, and vector databases—primarily MongoDB Atlas—with working knowledge of PostgreSQL. Develop intelligent AI agents capable of autonomous reasoning, planning, and interaction with external tools. Support and promote AI-augmented development practices with tools such as GitHub Copilot or Factory AI. Requirements Practical experience with the Azure AI ecosystem, GitHub, DevOps methodologies, generative AI architectures, and vector search solutions. Strong programming skills in Python and familiarity with modern MLOps and DevOps environments. Hands-on experience with embeddings and text chunking strategies, JSON and markup formats, FastAPI, Pydantic, pymongo, and Azure SDKs. Proven expertise in designing scalable AI systems, document processing pipelines, and cloud-native infrastructures. Strong communication abilities and experience collaborating within cross-functional teams.

🏢 Summary: Contract opportunity for a Fullstack Developer to design and deliver web applications using modern Python and JavaScript frameworks, with a focus on AI-driven solutions. The role involves building and maintaining backend services, developing responsive frontend interfaces, and deploying applications in a cloud environment. Onsite presence is required in the Greater Copenhagen Area with a hybrid setup. 🗂️ Requirements: Strong backend development experience with Python, Experience with FastAPI, SQLAlchemy, Alembic, Proficiency in JavaScript and TypeScript, Experience with React and NextJS, Experience with PostgreSQL, Knowledge of Qdrant or other vector databases, Experience with Azure cloud platform, Experience with Docker containerization, Ability to develop and maintain fullstack web applications, Availability to work onsite minimum 3 days per week 📃 Skills: Python, FastAPI, SQLAlchemy, Alembic, JavaScript, TypeScript, React, NextJS, PostgreSQL, Qdrant, Azure, Docker, LLM, LangChain, LangGraph 🏢 Description: Introduction & Summary We are seeking a highly skilled Fullstack Developer. The ideal candidate will possess extensive experience in backend and frontend development, with proficiency in Python and JavaScript frameworks. If you have a passion for developing innovative solutions and a keen interest in AI technologies. Main Responsibilities As a Fullstack Developer, you will be responsible for designing and implementing web applications and services. Your focus will be on enhancing user experiences through effective software solutions. Develop and maintain backend services using Python with FastAPI. Implement frontend solutions utilizing React / NextJS. Work with PostgreSQL (Relational) and Qdrant (Vector) databases. Utilize Azure and Docker for deploying applications. Collaborate with cross-functional teams to define, design, and ship new features. Ensure code quality and maintainability throughout the development process. Debug and optimize existing applications. Key Requirements Strong experience in backend development using Python (FastAPI, SQLAlchemy, Alembic). Proficient in frontend technologies, specifically Javascript/Typescript with React / NextJS. Experience with relational databases, particularly PostgreSQL. Knowledge of vector databases like Qdrant. Familiarity with cloud platforms such as Azure. Experience with Docker for containerization. Experience with LLM / AI technologies is a plus. Bonus: Familiarity with LangGraph / LangChain for Python. Nice to Have Previous experience with AI-driven applications. Understanding of software design patterns and best practices. Experience in agile development methodologies. Start: ASAP End: End of September 2026 Location: Greater Copenhagen Area Onsite/remote: min. 3 days onsite per week

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

🏢 Summary: Lead Python AI Engineer role focused on building and leading the development of a GenAI agent that leverages past RFP/RFI data to automate and accelerate responses. The position involves designing agentic AI solutions with LangChain/LangGraph, implementing RAG pipelines, and deploying scalable GenAI workloads on AWS. The engineer will guide the team technically while ensuring reliability, compliance, and production readiness of AI services. 🗂️ Requirements: 5+ years Python development experience, Recent experience with LLM or GenAI projects, At least 1 year leadership experience, Hands-on experience with LangChain or LangGraph, Experience designing agentic AI systems, Experience building RAG pipelines, Expertise in AWS for GenAI workloads, Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Upper-Intermediate (B2) English proficiency 📃 Skills: Python, LangChain, LangGraph, AWS, LLM, GenAI, RAG, Docker, Git, CI/CD, VectorDB, Embeddings, Prompting, Serverless, Containers 🏢 Description: We are looking for a Lead Python AI Engineer who has hands-on experience with agentic AI frameworks (LangChain, LangGraph, etc.) and knows how to run GenAI workloads on AWS. You will join the team building a GenAI agent that learns from past RFP/RFI responses and helps teams answer new requests faster. Responsibilities Build Python services that power the GenAI agent using LangChain, LangGraph, or similar libraries Create retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless functions, or managed AI services Instrument logging, monitoring, and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaborate with product, data science, and business teams to make sure the agent solves real problems Document code, APIs, and deployment steps so others can maintain and extend the solution Work within an Agile team and contribute to planning, demos, and retros Lead and technically guide the team Requirements 5+ years of Python development experience, with a recent focus on LLM or GenAI projects At least 1 year of relevant leadership experience Hands-on experience with LangChain, LangGraph, or comparable agent frameworks Expertise in Amazon Web Services for running GenAI workloads Understanding of agentic design patterns and how to wire tools, planners, and memory together Knowledge of vector databases, embeddings, and prompt engineering Proficiency in Docker, Git-based CI/CD, and automated testing Skills in leveraging AI-assisted development tools (e.g., Cursor, GitHub Copilot, Code Interpreter) to accelerate prototyping and code reviews Solid communication skills and the ability to work with technical and non-technical stakeholders English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review, or safety tooling AWS or Python certifications We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: The offer is for a Python AI Engineer to design and build GenAI agents using frameworks like LangChain and LangGraph, deployed on AWS. The role focuses on creating RAG-based solutions, integrating vector databases, and ensuring reliable, secure operation of LLM-powered services. The engineer will work in an Agile team to deliver production-ready AI systems with proper monitoring, documentation, and compliance. 🗂️ Requirements: 2+ years of Python development experience, Experience with LLM or GenAI projects, Hands-on experience with LangChain, LangGraph or similar agent frameworks, Understanding of agentic design patterns, Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency in Docker, Experience with Git-based CI/CD, Experience with automated testing, Ability to deploy solutions on AWS 📃 Skills: Python, LangChain, LangGraph, AWS, Docker, Git, CI/CD, LLM, GenAI, RAG, VectorDB, Embeddings, PromptEngineering 🏢 Description: We are seeking a Python AI Engineer with hands-on experience in agentic AI frameworks such as LangChain and LangGraph, who knows how to run GenAI workloads on AWS. Responsibilities Build Python services that power the GenAI agent, using LangChain, LangGraph or similar libraries Creation of retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless or managed AI services Instrument logging, monitoring and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaboration with product, data science and business teams to make sure the agent solves real problems Document code, APIs and deployment steps so others can maintain and extend the solution Contribute to planning, demos and retros within an Agile team Requirements 2+ years of Python development, with recent focus on LLM or GenAI projects Real-world experience using LangChain, LangGraph or comparable agent frameworks Understanding of agentic design patterns and how to wire tools, planners and memory together Knowledge of vector databases, embeddings and prompt engineering Proficiency in Docker, Git-based CI/CD and automated testing Solid communication skills and the ability to work with technical and non-technical stakeholders Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review or safety tooling AWS or Python certifications We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior Full-Stack Developer role focused on building healthcare analytics dashboards and AI-powered data solutions using React and Python. The position involves developing interactive visualizations, backend APIs, and AI integrations to enhance data exploration and operational insights. Remote-based in Portugal, contributing to advanced healthcare data and AI workflows. 🗂️ Requirements: 5+ years of experience as a Full-Stack Developer, Strong expertise in TypeScript and React (hooks, context, modern patterns), Experience with data visualization libraries (Recharts, Visx, D3.js), Solid Python backend development experience, Experience building REST APIs, Experience with PostgreSQL or Supabase, Hands-on integration with LLMs (OpenAI GPT-4, Claude, or Azure OpenAI), Experience with async programming and structured logging, Ability to write unit and integration tests (pytest), Fluent English, Legal right to work in the European Union 📃 Skills: TypeScript, React, Vite, ReactRouter, shadcn-ui, RadixUI, TailwindCSS, Recharts, Visx, D3.js, Supabase, Python, FastAPI, Click, Typer, OpenAI, Claude, AzureOpenAI, REST, PostgreSQL, pytest, Git 🏢 Description: Ignite healthcare analytics with cutting-edge full-stack solutions — revolutionize data visualization and AI-powered workflows! Portugal-based opportunity with remote work model (up to 5 days/week). As a Senior Full-Stack Developer – React & Python Expertise , you will be working for our client, a leading innovator in healthcare analytics and AI-powered dashboards. You will help shape the future of healthcare data exploration by building interactive dashboards, visualization tools, and AI integrations that improve patient outcomes and operational efficiency. Join a team committed to transforming healthcare through advanced technology and innovative data solutions. Your main responsibilities: Develop and enhance front-end applications using TypeScript and React (Vite, React Router), creating intuitive healthcare analytics dashboards and visualizations. Design and implement responsive UI components with modern libraries such as shadcn-ui, Radix UI, and Tailwind CSS. Build interactive data visualizations with Recharts, Visx, and custom D3.js visualizations to enable deep insights into healthcare data. Integrate real-time data capabilities with Supabase for seamless serverless backend interactions. Design and develop Python backends and CLI tools with FastAPI, Click, and Typer to manage data pipelines and AI workflows. Build CLI utilities for orchestrating workflows, executing queries, and managing data with user-centric UX and structured logging. Integrate with LLM/agent backends like OpenAI GPT-4, Claude, and Azure OpenAI to enable AI-driven data analysis, entity extraction, and content generation. Develop REST APIs and optimize data queries from PostgreSQL/Supabase to support analytics and operational metrics. Create data transformation layers to convert raw data into comprehensive UI-ready formats. Collaborate on external API integrations, including web scraping and cloud AI platforms, supporting features like brand visibility tracking and competitive intelligence in AI search platforms. Write comprehensive tests (unit, integration) with pytest, participate in code reviews, and maintain clear documentation for codebases and APIs. You're ideal for this role if you have: 5+ years of experience as a Full-Stack Developer with a focus on data visualization and healthcare analytics. Strong expertise in front-end development with TypeScript and React, including hooks, context, and modern React patterns. Proficiency in data visualization libraries: Recharts, Visx, with D3.js experience as a plus. Solid Python backend experience, including CLI development, API creation, async programming, and structured logging. Hands-on experience integrating with LLMs such as OpenAI GPT-4, Claude, or Azure OpenAI, especially for data analysis and content generation. Skilled in REST API development, database querying (PostgreSQL/Supabase), and data transformation for UI consumption. Familiarity with Git workflows, code review practices, and documentation standards. Good command of English, able to communicate complex technical concepts effectively. It is a strong plus if you have: Azure cloud deployment experience (App Service, Functions, Container Apps). Knowledge of cloud CI/CD pipelines (Azure DevOps, GitHub Actions). Experience with FastAPI or Flask, OAuth/JWT authentication, and API documentation with OpenAPI/Swagger. Knowledge of real-time features like WebSockets or SSE for live data updates. Healthcare domain knowledge, including HIPAA compliance considerations, patient journey visualization, and cohort analysis. Familiarity with multi-cloud architectures, specifically AWS and Azure, and cloud-agnostic design principles. Language Required for the role: Fluent English Eligibility to work in: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.