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

8–10 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.