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# Backend Engineer - Agent Experience

- **Company:** Deliveroo
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Large Language Models, Backend, Information Technology, Low Latency
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fad53b0e5c25118a

## About the Role

* Solid backend engineering fundamentals in Go, with experience shipping and maintaining production services.
 * Exposure to LLM-powered features in production (prompt/completion integration, provider APIs) is a plus - we'll ramp you up if you haven't worked with this directly.
 * Ability to independently own feature-level work: from a written requirement to tested, shipped code.
 * Comfort working in a domain with multiple chat/support surfaces - willingness to trace issues to the right service rather than guessing.
 * Clear technical writing (RFCs for feature-level decisions) and good judgment about when to ask for help versus push forward.
 * 2-4 years of backend engineering experience, with a track record of growing ownership and scope.

## Description

Agent Experience builds the AI-powered backend services that power agent-assist tooling on our Astra support surface - helping support agents resolve customer, merchant, and Dasher issues faster. We sit at the intersection of LLM-backed product features and high-volume, latency-sensitive support infrastructure., * Build and maintain backend services for agent-assist features on Astra, taking on feature-level work with increasing independence.

 * Translate requirements into working code: design the feature-level approach, write an RFC when the change affects other engineers, and implement it end-to-end.
 * Integrate with LLM-backed features - wiring up prompt/completion calls, handling provider responses, and validating output quality and correctness.
 * Break down assigned project work into tasks, provide accurate estimates, and keep your own progress and dependencies on track.
 * Apply AI tooling thoughtfully to your own workflow (coding, testing, review) and critically evaluate its output rather than taking it at face value.
 * Participate in code review - both giving and receiving - to help the team hold a high bar for correctness, quality, and standards compliance.
 * Collaborate with senior engineers and partner teams to clarify problem definitions, unblock yourself, and flag risks or blockers early.