AI Engineer – Large Language Models & Autonomous Agents

About the role

Applied Medical is seeking an AI Engineer with deep expertise in large language models (LLMs) and autonomous agent frameworks. You will design, develop, and deploy AI‑powered applications that enable reasoning, planning, and end‑to‑end automation across our medical‑device ecosystem.

Key responsibilities

• Design, fine‑tune, and launch LLM‑based applications for reasoning, planning, retrieval and automation.
• Build autonomous AI agents that interact with APIs, databases and tools using frameworks such as LangChain, LangGraph or AutoGen.
• Implement Model Context Protocols (MCP) to manage persistent context and coordinate agents with backend services.
• Develop Retrieval‑Augmented Generation (RAG) pipelines, vector databases and prompt‑engineering strategies for context‑aware responses.
• Create scalable backend infrastructure and deploy solutions on Azure or AWS with containerization (Docker, Kubernetes).
• Stay current with emerging LLM and agentic technologies and evaluate them for practical use.

Required profile

• Proven experience in AI engineering with a focus on LLMs and autonomous agents.
• Strong ability to translate research advances into production‑ready solutions.
• Excellent problem‑solving skills and a passion for innovation in healthcare technology.

Required skills

• Large Language Models (LLM) development and fine‑tuning
• AI agent frameworks – LangChain, LangGraph, AutoGen
• Model Context Protocols (MCP)
• RAG pipelines, vector databases, prompt engineering
• Cloud platforms – Azure, AWS
• Containerization – Docker, Kubernetes