AI Engineer
About the Role
Join a seed\-funded, Y Combinator\-backed pharmatech startup building an AI\-native platform for pharmaceutical pricing and market access workflows. As an AI Engineer, you'll own meaningful parts of the AI and data pipelines and grow into a core engineer who shapes scalable AI solutions in real\-world pharma contexts. This is a high\-ownership role in a fast\-moving, startup\-minded environment where reliability and real\-world impact are central to the mission.
What You'll Do
- Own and evolve significant parts of the AI and data pipeline infrastructure.
- Solve complex problems across large\-scale AI and data systems.
- Build end\-to\-end LLM\-powered extraction and transformation pipelines.
- Implement and maintain automation workflows for crawling, ingestion, and modelling.
- Develop automated validation and evaluation systems for data quality and LLM outputs.
- Turn real pharma workflows into AI\-native systems.
- Take full ownership of features from concept through to production.
What We're Looking For
Required:
- At least 2 years of experience (internships included) in ML, data engineering, or a related role.
- Strong Python skills with a track record of solving non\-trivial problems, especially in data pipelines and ML/LLMs.
- Experience deploying ML/data pipeline features to production and monitoring their performance.
- Proficiency with Docker, Azure cloud platform, and Terraform for infrastructure and deployment.
- Experience designing and implementing automated data quality validation and evaluation systems for data and LLM outputs.
- A genuine care for correctness, reliability, and real\-world impact.
- Experience applying AI to pharma or healthcare workflows.
- Prior startup experience and comfort operating in high\-ownership, fast\-paced environments.
Location
This is a full\-time, on\-site role based in Munich, Germany. Visa sponsorship is available for the right candidate.
Compensation \& Benefits
Compensation details are available upon application. You'll be joining a small, high\-calibre team at an early stage with meaningful equity upside and the opportunity to grow into a core engineering role as the company scales.
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