Product Engineer

Encord
London
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Autonomy","Problem-solving","Proactive improvement","Collaboration","First-principles thinking"]

Build and extend Encord’s full-stack platform for training and running AI models, owning projects from architecture and product decisions through deployment, monitoring, and measuring user impact. Work autonomously within a small, high-trust team to deliver performant, reliable, maintainable systems at massive scale. Collaborate across backend services and frontend interfaces, improving the codebase and product through proactive problem-solving.

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FursaFursa
Encord
Encord
3 months ago

Product Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and extend Encord’s full-stack platform for training and running AI models, owning projects from architecture and product decisions through deployment, monitoring, and measuring user impact. Work autonomously within a small, high-trust team to deliver performant, reliable, maintainable systems at massive scale. Collaborate across backend services and frontend interfaces, improving the codebase and product through proactive problem-solving.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build and extend foundational systems across the full stack, from backend services to frontend interfaces.
  • •Own projects end to end, including product and architectural decisions through deployment, monitoring, and impact measurement.
  • •Drive work forward autonomously while collaborating with a lean, high-trust team.
  • •Tackle complex problems at massive scale using simple, well-crafted solutions.
  • •Initiate improvements across the codebase and product through proactive problem-solving.
Travel: Low travel

Pay and Benefits

Equity and Bonus:Equity
Perks:Annual LeaveLearning Budget

Key Requirements

  • •Strong full-stack engineering experience with production-grade work across backend and frontend.
  • •Deep fluency in at least one high-level language (Python or TypeScript), with an emphasis on depth.
  • •Familiarity with cloud infrastructure (GCP preferred) and containerized 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.
Experience:AIMachine learningStartups
Skills:AutonomyProblem-solvingProactive improvementCollaborationFirst-principles thinking
Tech Stack:PythonTypeScriptReactKubernetesGCPPyTorchCUDARay

Company Brief

Encord
Provides a computer vision data platform for labeling, dataset management, and model evaluation, enabling teams to build, validate, and monitor ML models with collaboration and tooling for high-quality annotated data.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: London, United Kingdom
Founded: 2019
WebsiteLinkedIn