Senior AI Software Engineer — Secure, Mission-Critical AI

Everfox

Greater London

Hybride

GBP 77 000 - 124 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Competitive benefits package
Hybrid work environment
Pension match

Résumé du poste

Everfox is seeking a senior software engineer to architect and implement features across diverse languages and internal codebases, with a strong emphasis on AI-enabled products and measurable safety guardrails.

You will prototype quickly, integrate AI models and APIs, design prompt and context strategies, and contribute to the surrounding data handling, caching, and latency controls. Hybrid London work environment with a focus on secure, scalable delivery.

Qualifications

  • Degree in Computer Science or related field, or equivalent practical experience.
  • 8+ years of professional software development experience.
  • Experience with agentic coding tools (e.g., Claude Code, Codex) and building custom extensions.
  • CI/CD experience with GitLab and Docker; Python for automation.

Responsabilités

  • 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 supporting infrastructure.
  • Prototype quickly to de-risk ambiguous or complex problems; ramp up fast in unfamiliar systems.
  • Work as a guest engineer in other teams’ codebases, align on scope, deliver clean handovers.
  • Contribute to CI/CD, automation, and developer tools to accelerate project delivery.

Connaissances

Programming languages
CS fundamentals
Communication
Collaboration
Self-motivated
Security clearance readiness

Formation

Bachelor's degree in Computer Science or related field

Outils

GitLab
Docker
Python

Description du poste

Everfox is seeking a senior software engineer to architect and implement features across diverse languages and internal codebases, with a strong emphasis on AI-enabled products and measurable safety guardrails.

You will prototype quickly, integrate AI models and APIs, design prompt and context strategies, and contribute to the surrounding data handling, caching, and latency controls. Hybrid London work environment with a focus on secure, scalable delivery.

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