Product Engineer

Semaloop

Our mission is to build the operating layer for mobile development. The first part of that journey is to build the best tool to help teams catch mobile bugs, by deploying agents using computer vision on real devices.

We’ve secured over $3m in funding from Concept, Evantic, and Weekend Fund, and operators behind companies like Eleven Labs, Hugging Face, OpenAI, and Linear.

We’re still early, but we’re already relied on daily by cutting-edge companies like Granola, Gopuff, Slingshot AI, Praktika, Clove, Scope AI, Nexos, Morse, and many more.

• An engineer who not only writes clean and reliable code, but has great product instincts and loves jumping on calls and threads with customers. Our stack changes fast, so strong fundamentals matter more than experience in a particular language or framework.

• A true problem solver and builder, where the questions can’t simply be thrown into Claude, instead they involve getting around a whiteboard and figuring things out from first principles. Who thrives on the pace and ambiguity of working in a startup environment.

• Experienced taking ML concepts from "works on my laptop" to real production systems. You know about the unglamorous parts, like data pipelines, evals and maybe even statistics.

• Calm when things move quickly and priorities shift. You can decide what matters most, make progress without being blocked, and keep shipping while the product takes shape.

• Proficient with AI-assisted coding tools, to move faster and rapidly prototype, while still owning the code that's committed. You care about quality, and you want to spend more time on the interesting problems.

• Someone who enjoys working in-person; we’re based in Old Street and typically in 4 days a week.

Our engineering team is pioneering the path from agents that test applications to agents that can autonomously verify mobile software is working correctly. With a small team, it means you’ll own projects end to end and work across the full software stack (frontend + backend + infra).

Day to day, that spans:

• Architecting cutting-edge AI agents using a mixture of external, open source and proprietary multimodal models.

• Developing internal eval benchmarks and aggregating datasets to measure and improve agent performance.

• Building and improving secure cloud infrastructure and reverse engineering device communication protocols.

• Scaling our physical device farm through in house automation, a genuinely uniqe part of the role.

• Staying up to date with the latest research and advancements in the wider industry, so we can incorporate new technologies and ideas into our stack.

Your impact won’t stop at engineering, you’ll work on initiatives across the business, helping our go-to-market machine and be on the front-line, chatting with and supporting our customers, and helping to craft our product roadmap.

We know that amazing talent comes from all walks of life. If you find yourself feeling energised reading the above, whether you look like a fit on paper or not, please get in touch!

If you’ve made it this far, here’s a little more about our journey and the exciting mission and vision driving it.

From humble beginnings with a small device farm in Charlie’s shed, we saw first-hand how agentic coding unlocked many barriers to building apps, but ensuing that they run reliably was still incredibly painful. Whether at early-stage startups or tech-giants, flaky tests blocked releases and was the real bottleneck in getting new features into customer’s hands.

We’re on a mission to change that by building agents that test apps like humans do: through sight, sound and touch. We believe developers shouldn’t need to maintain special APIs, accessibility IDs or integrate new…