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Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects — operating with a high degree of autonomy, building and extending multiple foundational systems, and crafting performant, reliable, and maintainable solutions to challenging technical and product problems.
Job Responsibility:
Build and extend foundational systems across the full stack — from backend services to frontend interfaces
Take end-to-end ownership of projects, from product and architectural decisions through to deployment, monitoring, and measuring user impact
Work autonomously to drive projects forward while collaborating closely with a lean, high-trust team on challenging problems
Tackle complex domains at massive scale using simple, well-crafted solutions
Take initiative, be proactive in problem-solving, and continuously seek improvements across the codebase and product
Requirements:
Strong full-stack engineering experience, with production-grade work across both backend and frontend
Proficiency in Python and/or TypeScript
Experience with React a plus
Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes)
Experience building at scale in a fast-paced startup or high-growth environment
Exposure to machine learning workflows or ML infrastructure is a plus
Nice to have:
Experience with React
Exposure to machine learning workflows or ML infrastructure
What we offer:
Competitive salary, commission, and meaningful equity in a high-growth startup
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe