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Senior Full-Stack Software Engineer, (Forward Deployed), GPS

Scale AI · London, UK

CHECKED 15H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Build AI apps that impact millions of citizens.
  • Partner directly with public sector clients to solve pressing challenges.
  • Create custom AI applications and training data for custom LLMs.

Ideal candidate

Self-starting full-stack builder with 5+ years experience who thrives in ambiguity and with customers. Passionate about using AI to transform public sector services and deliver real citizen impact.

Requirements

  • Bachelor's degree in Computer Science or related quantitative field
  • 5+ years post-graduation full-stack engineering experience with React, TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB, Docker, Kubernetes, and Azure/AWS/GCP
  • Proven ability to architect scalable production-grade applications with cloud infrastructure
  • Experience working within customer infrastructure to deploy, maintain and troubleshoot end-to-end solutions
  • Self-starting approach with ability to navigate ambiguous requirements and deliver reliable software
  • Strong async communication skills
  • Experience building solutions with LLMs and understanding of Gen AI landscape
  • Past forward deployed or dedicated customer engineer experience (nice to have)
  • Experience working cross-functionally with operations (nice to have)
hiring process
90-day waiting period before reconsidering candidates for the same role.

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗