Applied AI Engineer, International Public Sector
ScaleDoha, Qatar; London, UKPosted 24 February 2026
Job Description
<p>Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:</p>
<ul>
<li>Creating custom AI applications that will impact millions of citizens</li>
<li>Generating high-quality training data for national LLMs</li>
<li>Upskilling and advisory services to spread the impact of AI</li>
</ul>
<p>We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. </p>
<p>At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable 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 member of our rapidly expanding team, we’d love to hear from you.</p>
<p><strong>You will:</strong></p>
<ul>
<li>Partner with public sector clients to deeply understand their challenges and define AI-driven solutions </li>
<li>Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models</li>
<li>Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets</li>
<li>Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models</li>
<li>Participate in customer engagements, including occasional travel (approximately two weeks per quarter)</li>
<li>Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing</li>
</ul>
<p><strong>Ideally you’d have:</strong></p>
<ul>
<li>A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>
<li>7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.</li>
<li>2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines</li>
<li>Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)</li>
<li>Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets</li>
<li>Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment</li>
</ul>
<p><strong>Nice to haves:</strong></p>
<ul>
<li>Experience working at a startup, particularly as founding engineer</li>
<li>Experience building and deploying large-scale AI solutions</li>
<li>Strong written and verbal communication skills to operate in a cross-functional team environment</li>
<li>Proficiency in Arabic (if focused on language models)</li>
</ul><div class="content-conclusion"><p><strong><em>PLEASE NOTE: </em></strong><em>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.</em></p>
<p><strong>About Us:</strong></p>
<p><em>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 expand ... (truncated, view full listing at source)
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