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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