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Scale AI

Supplies AI training data and builds AI apps

Staff Full-Stack Software Engineer - Forward Deployed, GPS

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • A Master's or PhD in Computer Science, or equivalent deep industry experience architecting complex, distributed systems.
  • At least 10 years of full-stack expertise across Python, Node.js, and React, with experience designing high-scale architectures on Kubernetes and global cloud infrastructures such as AWS, Azure, or Google Cloud Platform.
  • Ability to design and oversee production-grade ecosystems, ensuring system integrity, security, and long-term scalability.
  • Experience deploying and troubleshooting end-to-end solutions directly within complex, high-security client environments.
  • A track record of building large language model-driven solutions and anticipating changes in the technology landscape to architect future-proof systems.
  • Ability to resolve ambiguity, mentor senior staff, and set technical vision for the organization.
  • Experience driving asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.

Responsibilities

  • Serve as the lead technical strategist for public sector engagements, translating ambiguous mission requirements into architectural roadmaps and guiding onsite implementation.
  • Architect frameworks for production-grade AI applications, integrating interactive user interfaces, backend systems, and AI models at scale to deliver reliable outcomes.
  • Guide cloud infrastructure evolution, ensuring security, global scalability, and long-term system integrity across environments.
  • Direct development of core platforms and shared services to meet cross-cutting needs for diverse global client use cases.
  • Partner with cross-functional leadership to steer the technical roadmap, mentor senior and junior staff, and ensure products align with a cohesive technical architecture.
  • Translate client lessons from field engagements into reusable patterns for the engineering team.

Desired Qualifications

  • Past experience working at a startup as a chief technology officer or founding engineer, or in a forward-deployed engineer or dedicated customer engineer role.
  • Experience working cross-functionally with operations.
  • Proficiency in Arabic.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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