Senior AI Engineer – LLM / Agentic Systems (f/m/x)
Summary
Senior AI Engineer building an LLM-powered AI Assistant for an internal analytics platform serving a global healthcare organization. Day to day involves developing agentic LLM features (RAG, tool/function calling, MCP) in Python/TypeScript on AWS API Gateway and Lambda, with Terraform and Docker.
- The project focuses on developing a modern internal analytics platform used by a global organization in the healthcare industry. The platform supports business teams in analyzing data and making more informed decisions regarding customer engagement.
- A key part of the project is the development of an AI Assistant powered by Large Language Models (LLMs), allowing users to interact with the platform and explore complex data using natural language.
- Python and TypeScript/JavaScript
- LLM application development (prompt design, tool/function calling, MCP, RAG, agentic workflows)
- One or more of: Strands, LangChain, Pydantic
- AWS API Gateway & Lambdas (Node.js / Python)
- Terraform / Infrastructure as Code
- Docker, Docker Compose
- Clean code principles and evaluation-driven development