You will build the orchestration layer that allows AI agents to run real biology experiments in automated labs. Working across a TypeScript and Node stack, you'll bridge the gap between AI models and physical hardware, creating systems for real-time experiment visibility, scheduling, and automated troubleshooting for world-leading biopharma and research partners.
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Product Engineer at Adaptyv Bio
AI can now design novel proteins, but it still can't run the experiments—until now. Join a high-growth, YC-backed biotech startup in Lausanne as a Product Engineer and build the software orchestration layer that gives AI agents control over physical lab hardware. This is a rare opportunity to bridge the gap between software and physical science at a company accelerating the discovery of new medicines.
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Location
Lausanne, Switzerland
Compensation
90k-150k CHF + Equity
Company
Adaptyv Bio
Role overview
Adaptyv is building an automated lab thats let AI agents run biology experiments.
We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world.
Today, over 50 companies are already running their wet lab experiments on Adaptyv, ranging from some of the biggest biopharmas, to frontier AI labs to dozens of techbio startups.
Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development.
We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation.
What you will do
- Build the LabOS orchestration layer to coordinate complex dependencies between lab instruments, experiment scheduling, and data capture.
- Develop custom AI agents and tooling that automate decision-making across the entire experiment lifecycle, from protocol design to failure analysis.
- Turn proprietary hardware into API-controllable devices, enabling software and AI agents to operate sophisticated lab equipment programmatically.
Who this is a fit for
- Proven full-stack experience with TypeScript, React, Node, and Postgres, with a track record of shipping production-grade software.
- Strong product instinct and the ability to operate autonomously, starting from high-level goals rather than rigid technical specifications.
- Enthusiastic about the intersection of software and biology, with a workflow heavily integrated with AI tools to accelerate development. ===
Why this role is remarkable
- Impact the frontier of agentic science by building the physical infrastructure that enables AI models to design and test novel proteins and materials.
- Join a high-growth team backed by YC, ACE Ventures, and Founderful, serving massive demand from biopharma giants and frontier labs like Microsoft Research.
- Significant ownership and equity in a fast-growing startup where software engineers directly influence physical-world scientific outcomes and lab automation architecture.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Adaptyv Bio wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.