Senior Software Engineer, AI Security (Hybrid London)

Everfox; Greater London; Hybrid; GBP 59,000 - 97,000; Full time

Benefits offered by this job

Competitive annual leave

Pension match

PMI

Dental

Health cash plan

Income protection

Job summary

Everfox in London is seeking an experienced engineer to design, implement and maintain features across internal codebases. You will add AI-driven capabilities, including model and API integration, prompts and context design, and tooling across teams.

The role emphasizes building measurable AI quality, developing reusable components, and collaborating with Product, QA and other engineers in a hybrid London setting.

Qualifications

• A degree in Computer Science, Engineering, or a related technical subject, or equivalent practical experience.
• Solid commercial software development experience with reliable delivery.
• Genuine language flexibility; productive in multiple languages as projects demand.
• Strong CS fundamentals: data structures, algorithms, concurrency, APIs, testing, security.

Responsibilities

• Engineer, design, implement and maintain features across multiple internal codebases.
• Add AI-driven capabilities, model/API integration, prompts and context design.
• Build evaluation and testing to measure AI behaviour and prevent regressive changes.
• Use AI tooling and agent workflows to improve speed and quality, and share reusable components.

Skills

CS degree

Software development

AI tooling

Communication

Self-motivation

Problem solving

Security awareness

Education

Bachelor's in CS/Engineering

Tools

GitLab CI/CD

Docker

Kubernetes

Python

Job description

Everfox in London is seeking an experienced engineer to design, implement and maintain features across internal codebases. You will add AI-driven capabilities, including model and API integration, prompts and context design, and tooling across teams.

The role emphasizes building measurable AI quality, developing reusable components, and collaborating with Product, QA and other engineers in a hybrid London setting.