Applied AI Engineer, Scale

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 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

Requirements & Skills:

• 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 have:

• Experience working at a startup, particularly as a 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)