We're 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 partner with public sector clients to deeply understand their challenges and define AI-driven solutions.
Key responsibilities include:
- Building and deploying end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
- Collaborating with cross-functional teams, including data annotation specialists, to create high-quality training datasets
- Designing and maintaining robust evaluation frameworks to ensure the reliability and effectiveness of AI models
- Participating in customer engagements, including occasional travel (approximately two weeks per quarter)
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)
- 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
- 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
- Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
- 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)
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