Applied AI Engineer

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:

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

As an Applied AI Engineer, you’ll build custom end-to-end AI applications for our public sector  clients using computer vision and/or language models created by our team. You will also get the opportunity to fine-tune these sophisticated models to maximize performance and customer value. 

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:

• Partner with public sector clients to deeply understand their challenges and define AI-driven solutions 
• Build and deploy end-to-end AI applications into production leveraging computer vision and/or language models, including fine-tuning and optimization
• Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
• Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally you’d have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 5+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, Java, C++, or TypeScript/JavaScript
• 2+ years of experience applying AI/ML in production environments, such as training models, deploying deep learning solutions, or building generative AI applications
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)