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Artificial Intelligence, Data Annotation, Machine Learning, Enterprise Software

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

London, United KingdomOnsiteFull TimeStaffPosted 2 months ago

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Role summary

Scale is seeking a Staff Full-Stack Software Engineer (Forward Deployed) to join its growing Global Public Sector team. This role focuses on using AI to solve critical public sector challenges by building custom AI applications, generating training data for LLMs, and providing AI advisory services. The engineer will act as the lead technical strategist, architecting AI applications, guiding cloud infrastructure, and directing platform development. The ideal candidate has 10+ years of full-stack expertise in Python, Node.js, and React, with experience in Kubernetes and global cloud infrastructures (AWS/Azure/GCP), and a strong background in designing high-scale, secure, and reliable distributed systems. This is a hybrid role with significant client-facing responsibilities.

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

  • Creating custom AI applications that will impact millions of citizens
  • Generating high-quality training data for custom LLMs
  • Upskilling and advisory services to spread the impact of AI

    • As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

    At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

    You will:

  • Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
  • Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
  • Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
  • Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
  • Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.
  • Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

    • Ideally you’d have:

  • Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
  • 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).
  • Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.
  • Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.
  • A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
  • A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.
  • Proficient in Arabic

    • Nice to haves:

  • Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
  • Experience working cross functionally with operations
  • Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

    • PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

    About Us:

    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, Cisco, DLA Piper, 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.

    We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

    We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

    We comply with the United States Department of Labor's Pay Transparency provision.

    PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

    Sample Scale AI interview questions

    • 1

      How would you factor in metadata and timestamps in the storage count?

      technicalmedium
    • 2

      Reverse Nodes in k-Group Reverse nodes in k-group in a linked list. Input: head = [1,2,3,4,5], k = 3 Output: [3,2,1,4,5] Explanation: The first 3 elements are reversed, while the remaining 2 are left untouched since they don't form a complete group.

      codingmedium
    • 3

      Clone an undirected graph.

      codingmedium
    • 4

      Merge a New Interval Merge a new interval into a list of non-overlapping intervals. Input: intervals = [[1,2],[3,5],[6,7],[8,10],[12,16]], newInterval = [4,8] Output: [[1,2],[3,10],[12,16]] Explanation: The new interval overlaps with [3,5], [6,7], and [8,10], merging them all into the unified block [3,10].

      codingmedium
    • 5

      Find the lowest common ancestor on an N-ary tree.

      codingmedium

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