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

London, UK💼 Full-time🗓 2026-07-09 → 2026-10-03

Core

Lead technical strategist and architect for public sector engagements, building full-stack AI applications and generating high-quality training data for custom LLMs to solve critical challenges for millions of citizens.

Role type

Staff Full-Stack Software Engineer (Forward Deployed)

Builds

Production-grade AI applications, core platforms, and shared services for global public sector clients. (via careerplan.io/jobs/4676610005-staff-full-stack-software-engineer-forward-deployed-gps-at-scaleai)

Domain

Public Sector / AI / Cloud Infrastructure

Required skills

Full-stack architecture (Python, Node.js, React), distributed systems design, Kubernetes, global cloud infrastructure (AWS/Azure/GCP), system integrity and security, technical strategy, mentoring, asynchronous workflows

Preferred skills

Startup CTO or founding engineer experience, cross-functional operations experience, LLM-driven solution architecture

Technologies

Python, Node.js, React, Kubernetes, AWS, Azure, GCP

Responsibilities

Convert ambiguous mission requirements into robust architectural roadmaps; Architect fundamental frameworks for production-grade AI applications; Guide the evolution of cloud infrastructure; Direct development of core platforms and shared services; Mentor senior and junior staff; Bridge field lessons into reusable engineering patterns

Seniority

Staff, hands-on IC with strategic leadership

About scaleai

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.