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Scale's Global Public Sector team is building AI solutions to address critical challenges facing governments worldwide. The team focuses on creating custom AI applications, generating high-quality training data for custom LLMs, and providing upskilling and advisory services.
As a Staff Full-Stack Software Engineer (Forward Deployed), you will serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation. You'll architect fundamental frameworks for production-grade AI applications, setting standards for how interactive UIs, backend systems, and AI models integrate at scale to deliver reliable outcomes.
Key responsibilities include:
- Serving as lead technical strategist for public sector engagements, converting mission requirements into architectural roadmaps
- Architecting production-grade AI application frameworks with integrated UIs, backends, and AI models
- Guiding cloud infrastructure evolution for security, global scalability, and system integrity
- Directing development of core platforms and shared services for diverse global client use cases
- Partnering with cross-functional leadership to steer technical roadmap and mentor senior/junior staff
- Bridging field insights with core platform development to create reusable patterns
You should have 10+ years of full-stack expertise across Python, Node.js, and React, with proven track record designing high-scale architectures on Kubernetes and global cloud infrastructure (AWS/Azure/GCP). A Master's or PhD in Computer Science or equivalent deep industry experience architecting complex distributed systems is expected. You'll need expert ability to design production-grade ecosystems, extensive experience deploying solutions in complex high-security environments, and capability to resolve extreme ambiguity while mentoring senior staff. Proficiency in Arabic is required. Experience as a startup CTO, founding engineer, or forward-deployed engineer is valued, along with LLM-driven solution building and cross-functional operations experience.
