CareerPlan

Mathematiker (m/w/d)

München, BAYERNFull-time2026-09-08 → 2026-10-08
Hybrid

Core

Designing and building complete multi-agent AI systems, RAG pipelines, and agent harnesses to make healthcare smarter for a million people.

Role type

Senior IC machine-learning engineer (agentic AI & RAG)

Builds

Production-ready AI applications with tool-calling, orchestration, and end-to-end integration into existing IT landscapes.

Domain

Healthcare / Agentic AI / RAG

Deliverable

production ML models

Required skills

Multi-agent system design, RAG pipeline optimization, LLM fine-tuning, prompt engineering, observability, cost management, security guardrails

Preferred skills

Open source & commercial LLM expertise, MCP integration, hallucination detection, EU AI Act compliance

Technologies

Open Source LLMs, commercial LLMs, Claude Code, OpenCode, Codex

Responsibilities

Conceive and build multi-agent systems with tool-calling and orchestration; create high-performance RAG pipelines; develop agent infrastructure (reasoning loops, context management); establish reproducible prompt engineering and evaluation frameworks; implement security guardrails and grounding; plan fallbacks and redundancies for 24/7 operation; define technical standards and translate requirements into code; manage token and infrastructure costs.

Seniority

Senior, hands-on IC