Imagine telling your friends at dinner you help accelerate critical pharmaceutical drug launches.
Not just built a feature or implemented a new tool, but architect and ship LLM-powered extraction whilst owning data architecture end-to-end.
This role is about building the complex AI systems that make it possible.
VC-backed, trusted by global pharma leaders to cut through complexity and automate high-stakes workflows in a highly regulated environment.
Working in Munich, you'll own the intelligence pipeline end-to-end—from raw messy data to LLM extraction, agentic workflows and RAG systems.
Your work will power real drug launches.
It will be used by teams making decisions that affect millions of people.
Stack: Python, LLMs, data infrastructure, and modern AI tooling.
3+ years building production systems, experience across AI and data infrastructure, and the ability to thrive in ambiguity required.
Suitable for ex-founders, engineering leads looking to go hands-on, or ambitious builders who want to solve something that matters - not optimise metrics.
Up to €180k base + equity.
In-person in Munich.
Small, talent-dense team.
No CV required to start the chat, please apply.
To fast track your application, please message Kieran on LinkedIn directly.
£180,000/year
5 days ago
Munich - On Site, Munich - On Site