Senior Python AI Engineer (Full Stack)
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
