AI Engineer (m/f/d) - Healthcare IT
Core
Design, build, and operate production-ready agentic AI systems for clinical and operational workflows in a regulated healthcare environment.
Role type
Senior AI Engineer (Agentic Systems & RAG)
Builds
Multi-step, tool-using agents with memory and state; RAG pipelines over clinical text; evaluation infrastructure for AI safety.
Domain
Healthcare IT / Clinical AI
Deliverable
production ML models
Required skills
Python, API design, automated testing, containerization, agent orchestration frameworks, RAG design (embeddings, vector stores, retrieval strategies), LLM evaluation harnesses, observability/tracing, cost and latency optimization.
Preferred skills
Healthcare/clinical software domain knowledge, statistics and probability theory, AWS cloud platform, infrastructure-as-code, model fine-tuning, guardrail and safety frameworks.
Technologies
Python, LLMs, Vector Stores, AWS, CI/CD pipelines
Responsibilities
Design and ship multi-step, tool-using agents with memory and state for clinical workflows; Build and maintain offline eval datasets and wire regression gates into CI; Design retrieval pipelines over structured and unstructured clinical text; Define acceptance criteria and failure-mode analyses for MDR/EU AI Act compliance; Enable tracing and monitoring of agent steps in production; Optimize cost-per-task via model routing, caching, and prompt efficiency.
Seniority
Senior, hands-on IC
