Senior AI Software Engineer — Secure, Mission-Critical AI

Everfox; Greater London; Hybrid; GBP 77,000 - 124,000; Full time

Benefits offered by this job

Competitive benefits package

Hybrid work environment

Pension match

Job summary

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.

Responsibilities

• 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.

Skills

Programming languages

CS fundamentals

Communication

Collaboration

Self-motivated

Security clearance readiness

Education

Bachelor's degree in Computer Science or related field

Tools

GitLab

Docker

Python

Job description

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.