Agentic AI Python Developer (AWS)
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Job Summary
Agentic AI / Python Developer (AWS)
Role Overview
Core builders of the agentic AI capability designing and implementing multi-agent LLM-powered workflows in Python on AWS including AgentCore / Bedrock and RAG integrations.
Experience Profile
810 years of software / AI engineering with strong Python and hands-on agentic AI.
Key Responsibilities
Design and build agentic AI workflows (planning reasoning tool use orchestration) in Python.
Implement LLM pipelines using LangChain / LangGraph and AWS AgentCore / Bedrock.
Integrate agents with enterprise APIs data and vector stores (RAG).
Optimise prompts memory orchestration and inference performance.
Deploy monitor and harden agentic services on AWS.
Offshore senior developer leads the offshore AI sub-team sets standards and mentors.
Required Skills
Strong Python engineering fundamentals.
Hands-on LangChain / LangGraph and multi-agent orchestration.
AWS domain including AgentCore / Bedrock; RAG embeddings and vector databases.
Production deployment of AI services.
Preferred / Nice-to-have
Insurance / underwriting exposure.
AWS certification; MLOps / LLMOps experience.
Required Skills:
Python Agentic AI LangChain/LangGraph AWS Bedrock/AgentCore LLM Multi-Agent Systems
