Encord
The data layer for physical AI
Full-Stack Engineer
About the role
About us
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.
The role
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.
What you'll do
- 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
Who we're looking for
- Experienced: you've seen a lot and built a lot compared to your peers — personally developed and maintained multiple systems from scratch, with a deep understanding of the trade-offs involved in building reliable, performant software at speed
- Impact-driven: you want your work to have a tangible outcome for people and aren't satisfied by products that don't see the light of day
- A builder: you enjoy all aspects of building a complete product, are comfortable moving across the stack, and love problem-solving from first principles
- Comfortable with uncertainty: happy to tackle problems without a predefined solution, and excited to make decisions autonomously as you go
- A team player: you contribute your best work and actively help others do the same — you enjoy levelling up those around you
Experience 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
Tech stack
We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.
- Backend: Python
- Frontend: TypeScript and React
- Deployment: Kubernetes
- Infrastructure: GCP
- Machine learning: PyTorch, CUDA, Ray
Why Encord
- 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
About Encord
At Encord, we're building the AI infrastructure of the future. Today, the biggest challenge companies face in getting an AI product to market is actually not half as glamorous as it may seem: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly and the most time-consuming.
As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord.
We’re a team of 60 working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other prominent leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.
