Applied AI Engineer, Global Public Sector
Build and deploy end-to-end AI applications and model evaluation systems for global public sector clients. The role requires 7+ years of engineering experience, production AI/ML experience, and proficiency in modern programming languages and cloud platforms.
About the job
Responsibilities
- Partner with public sector clients to understand their challenges and define AI-driven solutions.
- Build and deploy end-to-end AI applications into production using developments from leading 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 of approximately two weeks per quarter.
- Contribute to scaling AI capabilities in the public sector through hands-on knowledge sharing.
Requirements
- Bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience.
- 7+ years of post-graduation engineering experience.
- Proficiency in Python, TypeScript/JavaScript, Java, or C++.
- 2+ years of experience applying AI/ML in production, such as deploying deep learning solutions, building generative or agentic AI applications, or setting up evaluation pipelines.
- Familiarity with cloud-based machine learning tools and platforms, including AWS, Google Cloud, or Azure.
- Strong problem-solving skills and a data-driven approach to iterating on machine learning models and datasets.
- Excellent written and verbal communication skills for effective cross-functional collaboration.
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 in cross-functional environments.
- Proficiency in Arabic, particularly for language-model-focused work.
Skills
Python, TypeScript, JavaScript, Java, C++, Machine Learning, Deep Learning, Generative AI, Agentic AI, AWS, GCP, Microsoft Azure, Evaluation Frameworks, Training Datasets, LLMs
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