Role overview
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.
Responsibilities
- 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.
- 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.
Preferred qualifications
- Experience applying AI to pharma or healthcare workflows.
- Prior startup experience and comfort operating in high-ownership, fast-paced environments.
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.
Tags & focus areas
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