Staff Full-Stack Software Engineer, (Forward Deployed), GPS
About the role
Full-Stack Engineer focused on forward-deployed AI applications for public sector engagements, building production-grade architectures and guiding technical strategy across global implementations.
Responsibilities
- Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
- Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for integration of interactive UIs, backend systems, and AI models at scale
- Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments
- Direct the development of core platforms and shared services to solve cross-cutting needs for diverse global client use cases
- Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring products align with a cohesive, future-proof technical architecture
- Bridge the gap between the field and the core platform by turning real-world client lessons into reusable patterns for the engineering team
Qualifications
- Masters or PhD in Computer Science or equivalent deep industry experience in architecting complex, distributed systems
- 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP)
- Expert ability to design and oversee production-grade ecosystems ensuring world-class standards for system integrity, security, and long-term scalability
- Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments
- Proven track record of building LLM-driven solutions with the foresight to anticipate landscape shifts and architect future-proof systems
- Self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization
- Driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction
Skills

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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