> Markdown version of [/jobs/ext/4652769-ai-engineer-south-london-hybrid-100-150k](https://www.wearedevelopers.com/jobs/ext/4652769-ai-engineer-south-london-hybrid-100-150k). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer South London Hybrid £100-150k+ - **Company:** Telstra Associates - **Location:** London, United Kingdom - **Salary:** £100,000 - £150,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Generation, Continuous Integration, Software Product Management, TypeScript, Golang - **Published:** November 10, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-FCABBEE39BCF55F274/ ## About the Role The judgement to distinguish a structural deviation from the spec from a stylistic difference; and a genuine risk from noise that would slow the team down Technical skills Full stack engineering experience Strong architectural judgement: you have designed systems at scale, owned solution architecture decisions end-to-end, and can work collaboratively with an existing architecture function rather than in isolation from it Working knowledge of infrastructure and release pipelines - CI/CD, cloud infrastructure, deployment practices - sufficient to make sound decisions about where the delivery system is fragile Stack includes AWS, Go, Java, and TypeScript; familiarity with the majority and a demonstrated ability to pick up new tools quickly ## Description Looking for a strong AI Engineer to work for an exciting client in Surrey, the AI Engineer will join an exciting new team in a great environment, please find details below. Working with the product function and architecture Work closely with the Lead AI Product Manager from discovery through delivery: translating acceptance criteria into testable checks and jointly deciding whether output meets the bar to ship Own solution architecture decisions for the products the team builds: produce design documentation, defend decisions with evidence AI output review Experience reviewing AI-generated code or outputs in a production context, with a clear methodology for what to check and what to delegate to automated tooling