Senior Software Engineer (AI-Native Development)
Résumé du poste par JobGrid
Senior Software Engineer (AI-Native Development) at Benivo Limited: London, Royaume-Uni; Hybride; Temps plein; IT; Ingénieur Back End. This listing is part of JobGrid's Emplois de développeur logiciel depuis des pages carrières. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: London, Royaume-Uni, Hybride
- Role classification: IT, Ingénieur Back End, Temps plein
- Source freshness: checked by JobGrid on 2026-05-31.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Senior Software Engineer (AI-Native Development)
At Benivo, we believe the next generation of strong software engineers will combine deep engineering judgment with the ability to orchestrate AI agents to design, implement, test, and ship software faster.
We are hiring a Senior Software Engineer (AI-Native Development) to help us build software significantly faster and better using tools such as Codex, Claude, GitHub Copilot, and similar tools.
This is not an AI/ML or research role. It is a hands-on software engineering role for someone who can use AI effectively across the full development lifecycle while remaining fully responsible for quality, design, maintainability, security, and production outcomes.
What you will do
- Build new product capabilities from requirements through release
- Work confidently inside a large, evolving codebase with technical debt and business-critical logic
- Set up and use multiple AI agents or agentic workflows to accelerate requirements analysis, implementation, testing, refactoring, unit testing, and documentation
- Review and strengthen AI-generated output rather than relying on it blindly
- Write maintainable, production-grade code and automated tests
- Make sound technical decisions across architecture, performance, security, and maintainability
- Help raise the bar for AI-native engineering practices across the organisation
What we value
- Strong engineering fundamentals
- Ability to produce significantly more engineering output by orchestrating AI tools effectively, not simply writing code faster manually
- High ownership
- Fast execution with quality
- Sound judgment
- Comfort operating in real production complexity
- Business-result orientation