AI Platform Engineer

The Role

We’re hiring a senior engineer to build core infrastructure and tools that connect our AI models to real-world use. You’ll work across the full stack — front-end, back-end, and ML infrastructure — to build systems that close the gap between idea and implementation for our AI and wet-lab scientists.

Your work will enable faster design cycles, tighter feedback loops, and more seamless collaboration across disciplines. This is a high-impact, hands-on role that directly supports our scientists, collaborators, and pharma partners.

You’ll build APIs, dashboards, training and inference pipelines that turn frontier AI models into production-grade tools for drug design. Another focus will be accelerating scientific workflows with LLMs — building systems where AI helps propose and learn from experiments to drive faster cycles of discovery.

Qualifications

• 5+ years of experience as a full-stack, ML infra, or platform engineer
• Experience building backend systems that serve ML models in production
• Strong frontend development skills (React, TypeScript, etc.)
• Deep fluency in Python; familiarity with cloud-native tools and containerization (Kubernetes, Docker)
• Strong product taste, sense, and ability to partner with wet-lab scientists and AI researchers
• High agency and a track record of shipping quickly with quality