Senior Full-Stack Software Engineer, (Forward Deployed), GPS

London, UK

Posted 2mo ago

Remote Work Policy

On-site

Categories

Applied AI Engineer

About the job

Scale's Global Public Sector team is dedicated to leveraging AI to tackle significant challenges within the public sector worldwide. This role involves collaborating directly with public sector clients to rapidly develop full-stack AI applications that address their most critical needs and create substantial impact for citizens. You will be instrumental in building custom AI applications, generating high-quality training data for LLMs, and providing advisory services to expand AI's reach. Scale is at the forefront of enabling the public sector's transformation through cutting-edge technology, and this position offers an opportunity to be a founding member of a growing team shaping the future of AI in this domain.

Responsibilities

  • Partner with public sector clients to define problems, gather feedback, and implement solutions.
  • Architect production-grade applications integrating AI models with full-stack frameworks, covering UIs, APIs, and backend systems.
  • Deploy and manage cloud infrastructure, ensuring system integrity, security, scalability, and reliability.
  • Contribute to core platform features for reuse across diverse client use cases.
  • Collaborate with design, product, and data teams to build robust applications aligned with technical architecture.

Requirements

  • Bachelor's degree in Computer Science or a related quantitative field.
  • 5+ years of post-graduation full-stack engineering experience.
  • Proficiency in React, TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB.
  • Hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
  • Proven ability to architect scalable, production-grade applications with strong cloud and infrastructure knowledge.
  • Experience deploying, maintaining, and troubleshooting complex end-to-end solutions within customer infrastructure.
  • Self-starter with technical maturity to handle ambiguous requirements and deliver reliable software.
  • Experience with asynchronous communication methodologies.

About Scale AI

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