Senior Backend Engineer (Python / .NET)

Location: Hybrid, with candidates required to be based in the UK or Ireland; the working setup also permits candidates based in Germany or the Netherlands, with attendance at the UK HQ once per quarter.

Company

hirify.global is a profitable technology company providing online reward and workplace benefits solutions to more than five million employees across over 3,000 organisations in more than 100 countries.

What you will do

• Design and build features for Brain, hirify.global’s flagship AI product for employee-benefit recommendations.
• Use Python and .NET experience to work with the Benefits product and its APIs.
• Own feature quality through testing, defect resolution, code reviews, and improvements to maintainability, accessibility, performance, and security.
• Improve system stability through alerting, runbooks, observability, and production incident resolution.
• Collaborate with Product, Design, Engineering, and remote Java Spring Boot engineers to deliver cohesive solutions.
• Support engineer onboarding and help evolve AI-assisted development practices.

Requirements

• Commercial production GenAI experience of at least 6 months, including MCP, multi-agent orchestration, RAG-based solutions, evaluations, and agentic observability with Langfuse.
• Commercial backend development experience with Python and confidence working with SQL.
• Advocacy for AI security and responsible AI, plus practical experience using AI coding assistants such as Claude Code, Copilot, or Cursor.
• Experience delivering features end-to-end, working independently, and knowing when to seek support.
• Strong clean-code practices and awareness of performance, security, testability, and other non-functional concerns.
• Ability to debug and diagnose issues in running production systems.
• Exposure to containerisation and CI/CD pipelines, with willingness to deepen this experience.
• Awareness of agentic orchestration, microservices, and event-driven architecture.
• Open collaboration, clear documentation and proposals, and resourceful problem-solving in ambiguous situations.
• Genuine interest in AI Native engineering practices and helping shape AI-assisted ways of working.

Nice to have

• Experience with A2A integrations.
• Experience with Google Pub/Sub, Redis, and cloud application deployment and scaling, especially on GCP.
• Familiarity with observability tools such as Langfuse and Grafana.
• Mentoring or supporting more junior engineers.

Culture & Benefits

• AI-first SDLC with opportunities to shape AI-assisted engineering practices.
• Flexible hybrid working setup with quarterly visits to the UK headquarters.
• MacBook Pro or equivalent equipment and an annual £/€800 learning budget, including two weekly Focus Fridays hours.
• 25 days of holiday plus local bank holidays, birthday leave, and two half-day wellbeing days.
• Healthcare cash plan, 24/7 Employee Assistance Plan, income protection, life assurance, pension, enhanced parental leave, and a £50 monthly allowance.

Hiring process

• Initial informal call with the Talent team.
• Interview with the Engineering Director, followed by a technical task.
• 60-minute technical interview and final 30–45-minute interview with the VP of Engineering.