Requirements
- Strong backend engineering fundamentals. You write clean, maintainable code, design robust APIs and services, and understand systems architecture, scalability, and SLAs.
- Hands-on experience building and operating production agentic systems. You have personally owned multi-step workflows that orchestrate tools and APIs, handle failures, and run reliably in the real world.
- Experience running long-lived production services. You are comfortable with monitoring, debugging, incident response, and iterative improvement of live systems.
- Applied AI/ML experience in products. You’ve worked with embeddings, retrieval, and evaluation strategies in real user-facing systems.
- Product-first, outcome-driven mindset. You prioritise user value, adoption, and business impact over technical elegance.
- High autonomy in ambiguous environments. You are a pragmatic 0→1 builder who can make trade-offs, move quickly, and own problems end-to-end.
- Strong commercial awareness. You understand how AI-driven systems deliver ROI through efficiency, behaviour change, and better decision-making — and you build with that in mind.
Nice to Have
- Experience with cloud infrastructure, data pipelines, or backend platforms supporting high-traffic systems.
Team
Team size: 70+
Additional Information
- €1,000 annual L&D budget + quarterly book budget
- €250 home office workspace budget
- Regular team offsites and socials
- Offices in London, Dublin, or Spain
