Applied AI Engineer, Global Public Sector

Stack

Responsibilities

• ▹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 the latest developments from AI labs and open source models
• ▹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

Requirements

• ▹A strong engineering background, with a Bachelor's degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• ▹7+ years of post-graduation engineering experience, with demonstrated proficiency in Python, TypeScript/JavaScript, Java, or C++
• ▹2+ years of experience applying AI/ML in production environments (deploying deep learning solutions, building generative/agentic AI applications, or setting up evaluation pipelines)
• ▹Familiarity with cloud-based machine learning tools and platforms (AWS, GCP, Azure)
• ▹Strong problem-solving skills with a data-driven approach
• ▹Excellent written and verbal communication skills for cross-functional collaboration

Nice to have

• ▹Experience working at a startup, particularly as a founding engineer

Soft skills

About the company

Scale's rapidly growing Global Public Sector team focuses on using AI to address critical challenges facing the public sector worldwide, creating custom AI applications, generating high-quality training data for national LLMs, and offering upskilling and advisory services.