Staff Fullstack Software Engineer, (forward Deployed), Gps

Scale AI Scale AI · Data AI · Doha, Qatar · GPS Engineering

Scale AI is seeking a Staff FullStack Software Engineer for their International Public Sector team to build custom AI applications, generate training data for LLMs, and provide AI upskilling and advisory services. The role involves leading technical strategy, architecting production-grade AI applications, guiding cloud infrastructure evolution, directing core platform development, and bridging field lessons to the core platform.

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
  • designing high-scale architectures
  • deploying and troubleshooting sophisticated end-to-end solutions
  • mentoring senior staff
  • Arabic

Nice to have

  • CTO or founding engineer
  • forward deployed engineer / dedicated customer engineer role
  • building LLM-driven solutions
  • anticipate landscape shifts
  • architect future-proof systems

What the JD emphasized

  • converting ambiguous mission requirements
  • production-grade AI applications
  • global scalability
  • diverse global client use cases
  • future-proof technical architecture
  • complex, distributed systems
  • high-scale architectures
  • production-grade ecosystems
  • sophisticated end-to-end solutions
  • extreme ambiguity
  • LLM-driven solutions
  • future-proof systems

Other signals

  • custom AI applications
  • training data for custom LLMs
  • upskilling and advisory services