Full-Stack AI Engineer for Autonomous Lab Tools

Medra; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Medra is building Physical AI Scientists: robotic systems that work with biopharma partners to enable scientific breakthroughs faster than ever. You will join a small, ambitious team shaping the future of life science software.

In this role, you will build tools for autonomous experiments, deploy and debug a growing fleet of robots, and ship features end-to-end across the stack. You’ll collaborate with scientists and robotics engineers to improve workflows and outcomes.

Qualifications

• 3+ years of full-stack engineering experience at product-driven companies.
• Practical experience building AI-driven workflows into products.
• Strong proficiency in Python and TypeScript, with production React applications.

Responsibilities

• Build and own the tools our customers use to design, monitor, and analyze autonomous experiments.
• Develop internal systems that help our team deploy, operate, and debug a growing fleet of robots in real lab environments.
• Work across the full stack, from React frontends to Node and Python services to AWS infrastructure, shipping features end-to-end.
• Collaborate directly with scientists, operations, and robotics engineers to understand their workflows and build software that makes their work easier and faster.
• Shape the engineering culture and technical direction of a product that's redefining how life science R&D gets done.

Skills

Full-stack development

Python

TypeScript

React

AWS

Tools

AWS

Job description

Medra is building Physical AI Scientists: robotic systems that work with biopharma partners to enable scientific breakthroughs faster than ever. You will join a small, ambitious team shaping the future of life science software.

In this role, you will build tools for autonomous experiments, deploy and debug a growing fleet of robots, and ship features end-to-end across the stack. You’ll collaborate with scientists and robotics engineers to improve workflows and outcomes.