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

Scale AI
Riyadh, KSA
Full-time
Mid-Senior
Onsite
Discovered 5 days ago
Full-stack software engineeringPythonNode.jsReactDistributed systemsKubernetes
Free

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Role Overview

Scale AI's International Public Sector team builds custom AI applications, generates training data for custom LLMs, and provides advisory and upskilling services.

The Full-Stack Software Engineer, Forward Deployed role works directly with public-sector counterparts to build full-stack AI applications for high-impact challenges.

The role is positioned as a founding member of the public-sector engineering team.

Technical Strategy and Architecture

  • Serve as the lead technical strategist for public-sector engagements and turn ambiguous mission requirements into architectural roadmaps.
  • Architect production-grade AI application frameworks that integrate interactive UIs, backend systems, and AI models at scale.
  • Guide cloud infrastructure evolution for security, global scalability, and long-term system integrity.
  • Direct development of core platforms and shared services for diverse global client use cases.

Leadership and Field Learning

  • Partner with cross-functional leadership to steer the technical roadmap and maintain a cohesive, future-proof architecture.
  • Mentor senior and junior staff and set technical direction for the organization.
  • Translate real-world client lessons into reusable patterns for the core engineering platform.
  • Promote asynchronous workflows and documentation-first practices to improve global engineering velocity.

Required Qualifications

  • Master's or PhD in computer science, or equivalent deep industry experience architecting complex distributed systems.
  • 10+ years of full-stack expertise across Python, Node.js, and React.
  • Experience designing high-scale architectures on Kubernetes and global cloud infrastructures such as AWS, Azure, or Google Cloud Platform.
  • Expertise overseeing production-grade ecosystems for system integrity, security, and long-term scalability.
  • Extensive experience deploying and troubleshooting end-to-end solutions in complex, high-security client environments.
  • Proven track record building LLM-driven solutions.
  • Ability to resolve extreme ambiguity, mentor senior staff, and set technical vision.

Preferred Qualifications

  • Startup experience as a CTO or founding engineer, or experience in forward-deployed or dedicated customer engineering roles, is preferred.
  • Experience working cross-functionally with operations is preferred.
  • Arabic proficiency is preferred.

About Scale AI

Scale AI develops reliable AI systems, high-quality training data, and full-stack technologies for enterprises and governments.

The company works with industry, healthcare, media, and government organizations to build, deploy, and oversee AI applications.

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