About
Scale develops reliable AI systems for important decisions. Its products provide high-quality data and full-stack technologies that power leading models, and help enterprises and governments build, deploy, and oversee AI applications.
Responsibilities
•Partner with public sector clients to scope solutions, collect feedback, and implement solutions to complex problems
•Architect production-grade applications integrating AI models with full-stack frameworks, from interactive UIs to backend APIs and systems
•Deploy and manage cloud infrastructure, ensuring system integrity, security, scalability, and long-term reliability
•Contribute to core platform features designed for reuse across diverse international client use cases
•Partner with design, product, and data teams to build robust applications aligned with the broader 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 (required), TypeScript, Next.js, Python, Node.js, and PostgreSQL or MongoDB
•Hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP
•Ability to architect scalable, production-grade applications and maintain 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 and the technical maturity to navigate ambiguous requirements and deliver reliable software
•Experience using async communication methodologies to reduce communication friction
•Experience building solutions with LLMs and a deep understanding of the Gen AI landscape
•Candidates who have previously applied for the same role must wait 90 days before reapplying
Nice to have
•Past experience in a forward deployed engineer or dedicated customer engineer role
•Cross-functional experience with operations
Conditions
Not specified in the posting.
