AI Software Engineer
The Trust, Kilsby, Northamptonshire
AI Software Engineer
Salary not available. View on company website.
The Trust, Kilsby, Northamptonshire
- Full time
- Temporary
- Remote working
Posted today, 30 Sep | Get your application in now to be one of the first to apply.
Closing date: Closing date not specified
Job ref: cfaa8cded88f4e8eb87467018be66a79
Location ref: Kilsby, Northamptonshire
Full Job Description
AI Software Engineer - HIRING ASAP Location: Remote Working Start Date: ASAP Duration: 6-Month Contract (with extension) Daily Rate: £400 - £550 per day PAYE (Negotiable on this) Summary We are looking for short-term Software Engineer cover to build and maintain the automation that keeps a large UGC application healthy in production across every surface it ships on. In this role you will build and operate the systems that keep a large UGC application healthy in production. It ships as a single product across multiple surfaces: natively on VR headsets, and on mobile and PC via cloud streaming (Horizon Cross Screen). You will work alongside the runtime and KTLO (keep-the-lights-on) team, focused on reducing manual operational and on-call work through automation, keeping the cloud rendering and deployment pipelines healthy, and keeping CI/CD functional as upstream dependencies change. ResponsibilitiesBuild and maintain automation that keeps a large VR application healthy in production
(release pipelines, build health, crash triage, incident detection)Maintain and improve an AI-assisted code repair system that creates and lands fix diffs autonomouslyDevelop tooling to automatically identify broken builds, pinpoint root-cause changes, and recommend or execute fixesMonitor production quality metrics and respond to regressions and outagesReduce manual on-call burden through automation, with a goal of cutting recurring operational work by 80-90%Complete required infrastructure migrations to keep CI/CD pipelines functional as upstream dependencies are retiredTop 3 Skills NeededExperience building autonomous systems that use AI: Specifically systems that are self-healing, where the AI can monitor metrics and autonomously determine the necessary actions to maintain performance without dipping below required levels.Experience in the deployment and maintenance of backend services: The role involves managing backend stacks, specifically monitoring weekly deployments of the cloud
rendering system and ensuring compatibility across different user devices (e.g., VR and mobile).Key Skills8+ years of professional software engineering experience, or equivalentProven experience building and operating CI/CD, build, release, and cloud deployment pipelines at scaleExperience operating cloud services and server-side fleets in production, including reliability, capacity, and latencyExperience building or operating AI-assisted developer tooling or agents that generate or repair codeExperience building tooling that detects broken builds and traces failures to their root-cause changeExperience with production monitoring, crash triage, and incident response for a large-scale, multi-surface applicationA track record of reducing operational and on-call load through automationExperience completing infrastructure or dependency migrations without breaking downstream CI/CD Bonus SkillsExperience with cloud game or application streaming, or remote renderingExperience with asset delivery
or CDN pipelines at scaleExperience with capacity, latency, or session-orchestration monitoring for streamed workloadsExperience operating live service or large-scale production applications (Live Ops)Familiarity with large monorepo build systems and dependency managementExperience designing self-healing or auto-remediation systemsSkills Not NeededDeep full-stack or internal tool knowledge: Don't need candidates to have experience with internal client tooling or to be deep-dive software engineers focused on client-side or full-stack development.