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Benifex Limited ищет инженера бэкэнда с опытом GenAI для разработки и поддержки нашего AI продукта Brain. Вы будете проектировать функции, писать чистый код и сотрудничать с командами разработки и дизайна, включая удалённые коллеги.
Ожидается опыт работы с Python, SQL и современными практиками безопасности и производительности. Кандидат будет участвовать во внедрении AI-обучения и архитектурных подходах, таких как оркестрация агентов и микросервисы, в гибком рабочем окружении в рамках UK/IE
We are a fast-moving technology company, and one of the most successful providers of online reward and benefits solutions in the UK. We believe that everyone deserves an exceptional experience at work, every day, and build workplace technology that makes this happen. Benifex's mission is to build remarkable experiences that employees love.
Design and build features for our flagship AI product, Brain - where Reward Directors can speak to and access a wealth of industry knowledge on what benefits are most suitable for their employee population you'll use your background as a Python / .NET engineer to understand our Benefits product and APIs Take ownership of the quality of what you ship, testing your own work, fixing defects, learning from them, and improving how the team works. Write clear, well-structured code that follows our conventions, and give clear, actionable feedback on pull requests. Improve the quality and maintainability of the code you touch, applying good practice around accessibility, performance and security. Contribute to the stability of our systems. Strengthening alerts and runbooks, improving observability, and helping resolve production issues and incidents alongside a senior engineer. Work with Product, Design and Engineering colleagues to make sure what you build lands the right outcome, and proactively share progress. Work effectively with remote teams, including engineers from Java Spring Boot backgrounds, to deliver cohesive solutions. Support the onboarding of new engineers. Use and help evolve our AI assisted development practices as part of Benifex's AI first SDLC.
Commercial production GenAI experience (6 months+) including experience using MCP, orchestrating multiple agents, RAG based solutions, evals and agentic observability (Langfuse). An advocate for AI security and responsible AI A track record of delivering features end-to-end, You make steady progress without needing constant direction, unblock yourself where you can, and know when to ask for help. Solid commercial experience in backend development with Python and confidence working with SQL. Good instincts for clean, maintainable code and awareness of non-functional concerns like performance, security and testability. Comfortable debugging and diagnosing issues in a running system, and interested in understanding how things behave in production. Exposure to containerisation and CI/CD pipelines, you don't need to have owned them, but you should be able to work within them and want to go deeper. Awareness of modern architectural patterns such as agentic orchestration, microservices and event-driven systems. Collaboration: you communicate openly, work well with cross-functional and remote colleagues, and bring clarity through documentation and proposals. Problem-solving: a resourceful approach to complex challenges, and the persistence to work through ambiguity. AI Assisted Development: practical, hands-on experience working with AI coding assistants (Claude Code, Copilot, Cursor, etc.) as part of your development workflow. AI Native Mindset: genuine interest in AI Native engineering practices, and a desire to help shape how a team works with AI rather than just consume it.