Python AI Developer

Python AI Developer

Please find the job description below.

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.