Senior Full Stack Software Engineer (Forward deployed) GPS

About Scale AI and the Global Public Sector Team

Scale AI is expanding its Global Public Sector team, which focuses on leveraging AI to address critical challenges within public sectors globally. This involves developing custom AI applications, generating high-quality training data for custom Large Language Models (LLMs), and providing upskilling and advisory services to broaden AI's impact. This full-time position for a Senior Full Stack Software Engineer (Forward deployed) is based in Riyadh, Saudi Arabia.

Role Overview

As a Senior Full Stack Software Engineer (Forward deployed) within the Global Public Sector (GPS) team, you will collaborate directly with public sector counterparts. The primary objective is to rapidly build full-stack AI applications designed to solve pressing challenges and deliver significant impact for citizens. This role is integral to enabling the public sector to transform operations and enhance citizen services through advanced technology.

Key Responsibilities

• Partner with public sector clients to scope requirements, collect feedback, and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• 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 high levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed for reuse across diverse international client use cases.
• Collaborate with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Qualifications and Requirements

• Bachelor’s degree in Computer Science or a related quantitative field.
• 5-10 years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, **, Python, **, PostgreSQL or MongoDB.
• Hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong understanding of cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Experience with asynchronous communication methodologies to reduce communication friction.
• Experience building solutions with LLMs and a deep understanding of the overall Generative AI landscape.

Preferred Qualifications

• Past experience in a forward-deployed engineer or dedicated customer engineer role.
• Experience working cross-functionally with operations teams.

Application Process

Interested candidates are encouraged to apply to join our team and contribute to shaping the future of AI in the public sector.