Senior Full-Stack Software Engineer, (Forward Deployed), GPS
About the role
Senior Full-Stack Software Engineer (Forward Deployed) to collaborate with public sector counterparts, build AI-powered applications, and contribute to scalable, production-grade platforms that integrate AI models with full-stack frameworks.
Responsibilities
- Partner with public sector clients to scope, collect feedback and implement solutions for complex problems.
- Architect production-grade applications that integrate AI models with full-stack frameworks, managing interactive UIs, backend APIs and systems.
- Deploy and manage infrastructure within cloud environments, ensuring system integrity, security, scalability, and long-term reliability.
- Contribute to core platform features designed to be reused across diverse international client use cases.
- Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.
Qualifications
- Bachelor’s degree in Computer Science or a related quantitative field
- 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB, plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP
- Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health
- Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions
- Self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software
- Driven async communication methodologies to reduce communication frictions
- Experience building solutions with LLMs and a deep understanding of the Gen AI landscape
Skills
Benefits
- No specific benefits listed in the description.

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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