Staff FullStack Software Engineer, (Forward Deployed), GPS
About the role
Full Stack Software Engineer (Forward Deployed) collaborating with public sector counterparts to build AI-powered applications, generate training data for custom LLMs, and provide advisory services at Scale.
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 how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
- 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, ensuring they 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 all 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 the reusable patterns that power the entire 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 strategic foresight to anticipate landscape shifts and architect future-proof systems.
- A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
- A 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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