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Senior AI Software Engineer
Everfox
London, GBR
Full-time
Senior · 8+ years experience
Hybrid
GBP 76900-123500 yearly / year
Discovered 2 days ago
Claude CodeCodexGitLabDockerKubernetesPython
Free
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Role Overview
Design, implement, and maintain features across varied languages, frameworks, and internal codebases.
Add AI capabilities to products: model/API integration, prompt and context design, retrieval, orchestration, and the surrounding infrastructure (data handling, caching, error management, cost and latency controls).
Build evaluation, automated testing, and guardrails to ensure AI behaviour is measurable and stable.
Use and extend AI tooling and agentic workflows to improve development speed, test coverage, documentation, and reduce manual effort.
Prototype quickly to de‑risk ambiguous or complex problems.
Ramp up fast in unfamiliar systems—map key components, ask good questions, and contribute early.
Work as a guest engineer in other teams’ codebases, aligning on scope, following conventions, and delivering clean, maintainable handovers.
Share knowledge, patterns, reusable tooling, and guidance to improve engineering practices across the organization.
Uphold high standards for quality, security, logging, testing, failure‑mode thinking, and responsible AI data handling.
Contribute to CI/CD, automation, and developer tools where they accelerate project delivery.
Key Skills for This Role
Claude CodeCodexGitLabDockerKubernetesPython
Full Job Posting
Location
- Hybrid – London, UK
- Everfox is seeking a versatile Senior AI Software Engineer who thrives in unfamiliar codebases, learns quickly, and improves systems across diverse, fast‑moving projects. You’ll build AI‑driven features, enhance engineering workflows using modern AI tools, and work across multiple teams to deliver high‑quality, maintainable software.
About the role
Design, implement, and maintain features across varied languages, frameworks, and internal codebases.
Add AI capabilities to products: model/API integration, prompt and context design, retrieval, orchestration, and the surrounding infrastructure (data handling, caching, error management, cost and latency controls).
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