Staff Full-stack Software Engineer, (forward Deployed), Gps

Scale AI Scale AI · Data AI · London, United Kingdom · GPS Engineering

Staff Full-Stack Software Engineer to lead technical strategy and architect production-grade AI applications for public sector clients, integrating UIs, backends, and AI models at scale. This role involves guiding cloud infrastructure evolution, directing core platform development, and bridging field lessons into reusable patterns.

What you'd actually do

  1. Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
  2. Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
  3. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
  4. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
  5. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.

Skills

Required

  • Python
  • Node.js
  • React
  • Kubernetes
  • AWS/Azure/GCP
  • full-stack expertise
  • architecting complex, distributed systems

Nice to have

  • CTO or founding engineer experience
  • forward deployed engineer / dedicated customer engineer role
  • building LLM-driven solutions
  • Arabic

What the JD emphasized

  • 10+ years of full-stack expertise
  • Expert ability to design and oversee production-grade ecosystems
  • Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments
  • A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.

Other signals

  • building full-stack, AI applications
  • generating high-quality training data for custom LLMs
  • upskilling and advisory services to spread the impact of AI
  • architect the fundamental frameworks for production-grade AI applications
  • integrating interactive UIs, backend systems, and AI models at scale