
Senior/Staff Software Engineer, AI
Fonoa · London, United Kingdom · Remote possible
Evidence
Fonoa is on the UK Home Office register. The posting doesn’t mention visas.
Sponsor register
UK Home Office Register of Licensed Sponsors
Listed as Fonoa Technologies UK Ltd. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.
Still open
Seen on the job board
First seen 25 Oct 2026. We check every day and remove closed roles.
Where you apply
jobs.ashbyhq.com/fonoa
Fonoa’s job board, hosted by Ashby.
Being on the register means Fonoa can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.
About the role
ABOUT ENGINEERING AT FONOA Engineering is central to how we build the business. We focus on solving real customer problems, not just shipping features. We work in small, high-trust teams, with full ownership across the lifecycle, from design to production and beyond. We value: - Ownership – engineers own what they build end-to-end - Simplicity – we break down complex problems into clear solutions - Thinking Big - we innovate with modern technologies (LLMs, AI Agents, etc.
) to solve meaningful problems - Quality – scalable, maintainable systems are non-negotiable - Speed & iteration – we ship fast, learn, and improve continuously - Collaboration – we win as a team, not as individuals POSITION OVERVIEW As Fonoa continues to evolve its product capabilities, we are looking for a Senior or Staff Software Engineer to help us build AI-powered experiences that feel deeply integrated into the product, not layered on top of it.
This is not a role focused on experiments disconnected from production. You will work on real customer-facing systems, building intelligent workflows, natural language interfaces, and agent-driven experiences that make complex problems simpler for our users and internal teams. You’ll work closely with engineering, product, and design to prototype, iterate, and scale new AI capabilities across the platform. This includes everything from designing backend systems that power AI workflows to shaping model behaviour, evaluation pipelines, and agent orchestration.
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