Software Engineer, Product

present of AI; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Adaptyv Bio in London is seeking a hands-on full-stack engineer who owns large parts of an internal platform for a live lab. You will build tools to schedule experiments, control instruments via software, and display live lab status to scientists and AI agents.

A strong candidate has shipped production web products, can turn vague goals into a plan, and cares about how users interact with the product. The work blends UI and real‑time data integration to support AI workflows in a lab setting.

Qualifications

• Shipped production web software with user impact.
• Able to translate vague goals into actionable plans.
• Experience with full-stack TypeScript and React.

Responsibilities

• Own substantial parts of an internal platform for a live lab.
• Schedule experiments and monitor instruments via software.
• Provide live lab status dashboards for scientists and AI agents.
• Collaborate across cross-functional teams to improve user workflows.

Skills

TypeScript

React

Production web apps

Product planning

Tools

Git

Job description

This is a hands-on full-stack engineering role where one person owns big pieces of an internal platform that runs a physical lab. The work spans scheduling experiments, controlling instruments through software, and showing live lab status to scientists and AI agents. A strong candidate has shipped production web products, can turn a loose goal into a plan, and cares about what users actually do with the product.

How it fits the AI era

AI agents are becoming the main users of this software, so the work includes building tools that let them request experiments, read results and help fix failed runs. AI coding tools are expected in daily work, though the person still needs enough experience to judge whether the output is good. What stays human is deciding what to build, handling messy real-world edge cases, and making sure a physical lab runs safely and reliably.

How it builds AI experience

Someone in this role would gain experience building agents that make decisions across a real experiment cycle, from planning a protocol to troubleshooting results. They would also learn how AI-designed proteins are tested in practice, since the lab turns digital sequences into measured data. To prepare, a candidate could build a small agent project that calls an API, handles failures and logs what it does, and read up on how protein assays work.

Worth showing

• Full-stack TypeScript and React
• Shipped and iterated on a product
• Building AI agents and tooling
• Scoping vague problems into plans

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Adaptyv Bio

An automated lab that tests AI-designed proteins, so researchers can send a sequence and get real experimental data back.