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.

Nice To Have

• 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.