As a Backend Software Engineer at Adaptyv Bio, you will architect the infrastructure connecting AI models to physical lab robotics. You’ll build scalable data pipelines for protein characterization, design APIs for instrument orchestration, and bridge the gap between software and hardware to enable high-throughput, agentic science at the cutting edge of biotech innovation.
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Software Engineer, Backend at Adaptyv Bio
Are you ready to move beyond SaaS and build software that controls the physical world? Adaptyv Bio is hiring a Backend Engineer in Lausanne to build the infrastructure for agentic science. You'll architect systems that allow AI agents to run real biology experiments, turning millions of dollars in lab hardware into a programmable API. If you're a high-autonomy engineer excited by the intersection of robotics, data pipelines, and protein design, join us in building the automated lab of the future.
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Location
Lausanne, Switzerland
Compensation
Not Disclosed
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
- Architect and maintain robust backend systems using Python and TypeScript to orchestrate complex laboratory workflows and high-precision device automation.
- Build high-performance data pipelines that ingest and structure heterogeneous measurements from physical instruments, such as binding kinetics and chromatography, into clean datasets.
- Collaborate with scientists and automation engineers to translate intricate molecular biology processes into reliable, scalable software services and programmable hardware integrations.
Who this is a fit for
- Proven experience designing and building production-grade backend systems with a deep understanding of database architecture, specifically with Python, TypeScript, and Postgres.
- Strong background in data engineering and systems integration, with a track record of handling complex, real-world data flows from hardware or physical sensors.
- Highly autonomous engineer who embraces AI-augmented development tools while maintaining a rigorous standard for code quality, maintainability, and clean architecture.
Why this role is remarkable
- Lead the development of "agentic science" infrastructure, giving AI models physical agency to conduct real-world biological experiments with minimal human intervention.
- Work with a high-value hardware stack, reverse-engineering multi-million dollar lab instruments into API-controllable nodes within a unified, high-observability software ecosystem.
- Join a high-growth environment trusted by frontier AI labs and leading biopharmas, where your code directly accelerates life-saving drug discovery and molecular design.
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