Adaptyv is building an automated lab that lets 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.
We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today.
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.
You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap — to embed with a customer, understand their pipeline, and wire Adaptyv's API into their stack so that designing, building, and testing proteins becomes one continuous loop instead of a series of handoffs.
This is a deeply technical, customer-facing role. You'll write real code in production systems — ours and, often, theirs. You'll go from a first integration call to a working pipeline that's submitting experiments and pulling results automatically. And you'll bring everything you learn in the field back to our product and engineering teams, so the integrations get easier every time.
Embed with customers — protein design platforms, pharma, AI labs, biotechs — to understand how they design proteins and where Adaptyv fits in their loop.
Integrate our API into their pipelines: submitting designs, tracking experiments, and pulling structured results back into their models and data stores.
Build the glue — SDKs, client libraries, scripts, and small services — that makes the integration clean, reliable, and easy to maintain.
Design the data flow between their design stack and our lab so a model's output becomes a real experiment, and real measurements flow back automatically.
Prototype quickly, then harden what works into something production-grade.
Be the technical voice of the customer internally — turn what you learn in the field into improvements to our API, docs, and product.
Help turn first integrations into durable, expanding partnerships.
Strong software engineer. You write production code (Python and/or TypeScript), design clean APIs and integrations, and can own a system end to end.
Customer-facing instinct. You're energized by working directly with users, translating a vague need into a concrete technical plan, and shipping something they actually use.
Fast and autonomous. You parachute into an unfamiliar codebase or pipeline, figure out what matters, and get a working integration live without waiting for a spec.
AI-native builder. It's 2026 — you build with coding agents like Claude Code as a default, and you have sharp judgment about what they produce.
API and integration experience. You've built or consumed real APIs, handled auth, webhooks, retries, and messy real-world data flows between systems.
Comfortable with ambiguity. Every customer's stack is different; you like that.
Interest in biology, protein design, or ML for science is a strong plus — you don't need a bio background, but you should be excited to learn the domain and talk credibly with scientists.
We review applications on a rolling basis.
Application deadline
We are reviewing applicants on a rolling basis.
