Agentic AI / Python Developer (AWS)
Summary
A senior (8-10 yrs) Python/AI engineer who designs and builds multi-agent, LLM-powered workflows on AWS using AgentCore/Bedrock, LangChain/LangGraph and RAG, deploying and hardening them in production. Also leads the offshore AI sub-team, setting standards and mentoring.
Agentic AI / Python Developer (AWS)
Who are we
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.