Full-Stack Engineer for Autonomous Lab AI Workflows

medraai

San Francisco (CA)

Hybrid

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Medra seeks a proactive full-stack software engineer to design, monitor, and analyze autonomous experiments, and to deploy and debug a growing fleet of robots in real lab environments.

You will work across the stack—React frontends, Node and Python services, and AWS infrastructure—shipping features end-to-end and collaborating with scientists and robotics engineers to streamline workflows.

Qualifications

  • Full-stack engineering experience at product-driven companies.
  • Practical experience building AI-driven workflows into products.
  • Strong proficiency in Python and TypeScript, with experience building production React applications.
  • Comfort working across the stack: frontend UI, backend services, cloud infrastructure (AWS).
  • A track record of shipping end-to-end—from idea to production.

Responsibilities

  • Build and own the tools our customers use to design, monitor, and analyze autonomous experiments (as described in the posting).
  • 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 workflows and improve efficiency.
  • Shape the engineering culture and technical direction of a product redefining life science R&D.

Skills

Full-stack engineering
Python
TypeScript
React
AWS

Tools

Node.js
AWS
React
TypeScript

Job description

Medra seeks a proactive full-stack software engineer to design, monitor, and analyze autonomous experiments, and to deploy and debug a growing fleet of robots in real lab environments.

You will work across the stack—React frontends, Node and Python services, and AWS infrastructure—shipping features end-to-end and collaborating with scientists and robotics engineers to streamline workflows.

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