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Salary
$95k – $172k per year (Estimated)
Location
In office (London)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Train and run AI on the right data. The data infrastructure layer for Physical AI and Enterprise teams - multimodal by design, from pre and post-training to deployment.

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

  • You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed

  • You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day

  • You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.

  • You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly

  • You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go

  • You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you

Experience requirements

  • Strong full-stack engineering experience, with production-grade work across both backend and frontend

  • Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language); experience with React is 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

  • Bonus: exposure to machine learning workflows or ML infrastructure

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.

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

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