Senior Software Engineer, Inference
- Location
- United Kingdom
- Track
- AI Infrastructure
- Level
- Senior
- Posted
- August 28, 2026
- Source
- Greenhouse
Job description
About the role
We're hiring a Software Engineer to help turn cutting-edge AI research into products our customers rely on every day. You'll sit on a fast-paced engineering team between our research org and our Applied teams, taking new model capabilities from proof of concept to robust, well-documented APIs serving production traffic at scale.
What You’ll Do
- Design and ship customer-facing APIs that expose new model capabilities, owning them from prototype through launch and ongoing iteration.
- Scale inference infrastructure to support our 1M+ api users
- Partner with researchers to productionize new techniques. For example, turning a notebook or POC into something with the latency, reliability, and ergonomics customers expect.
- Work with our customers and Applied teams to understand how users are building with our products, and feed that back into product design and research direction.
- Contribute across the stack as needed: backend services, inference infrastructure, SDKs, internal tooling.
What You’ll Need
- Strong backend engineering experience, including building and supporting machine learning infrastructure and/or customer-facing APIs in production.
- Comfort operating with ambiguity. Research timelines and product timelines don't always line up, and you're energized rather than frustrated by that.
- Genuine curiosity about AI/ML. You don't need to be a researcher, but you should want to understand what the models are doing well enough to make good engineering decisions around them.
- Strong collaboration skills. You'll be working daily with researchers, applied engineers, and sometimes customers, people with very different contexts and priorities, and the role only works if you enjoy that.
Pay Transparency
The provided range is the expected salary for candidates in the United Kingdom. Outside of those regions, there may be a change in the range which will be communicated to candidates throughout the interview process.
Salary range: £ 120,000 - £ 145,000