Python AI Engineer

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