Python AI Engineer | Middle

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

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

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

Seniority

• Middle

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