Full-Stack Engineer
Hybrid (London)Full-timePosted 11mo ago
About the role
Full-stack engineer role at Encord, a London-based AI data infrastructure company. 3+ years experience, full-time, US citizen/visa only. Proficiency in Python and TypeScript with React a plus. Focus on building foundational systems across the full stack, end-to-end project ownership, and scalable, reliable software.
Responsibilities
- 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
- 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
Qualifications
- 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
Skills
Required:PythonTypeScript
Nice to have:React
Benefits
- Competitive salary, commission, and meaningful equity in a high-growth startup
- Strong in-person culture — most of the team works from our London office 4+ days/week
- 25 days annual leave + UK public holidays
- Annual learning & development budget
- Travel for customer visits, events, and conferences across the UK and Europe
- Company lunches twice a week
- Monthly socials & bi-annual team offsites
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Encord
Building the data backbone for the (artificial) intelligence…
Encord is the leading data platform for AI. We help top AI teams get models into production faster with human-in-the-loop workflows for labeling and RLHF, infrastructure for data-centric model testing, and powerful data curation and management.
artificial-intelligencedeveloper-toolsmachine-learningcomputer-visionai
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