AI Backend Engineer

Join HiBob, a fast-growing HR platform that helps modern, mid-size businesses transform their people management. As an AI Backend Engineer, you will be part of a team that shapes the future of AI integration and experiences across the platform. You will work in a continuous delivery environment, focusing on backend development, software design, and scalable distributed systems.

Missions

• Concevoir, développer et déployer des systèmes backend évolutifs et distribués pour soutenir les fonctionnalités de la plateforme HR.
• Diriger le développement de fonctionnalités de bout en bout, de la conception à la mise en œuvre, en passant par les tests et le déploiement.
• Collaborer avec les équipes AI pour intégrer des expériences intelligentes dans la plateforme, en utilisant des méthodologies de test appropriées.

Profil recherché

If you don’t have every skill listed here but believe you’d be a great fit, we’d still love to hear from you!

• 5+ years of experience as a software engineer with a strong emphasis on backend development.
• Excellent knowledge of software design, clean architecture, and scalable distributed systems.
• Proven experience in leading end-to-end feature development - from design through implementation, testing, and deployment.
• Solid experience with testing methodologies (unit testing, TDD, mocking, etc.).
• Proficiency with relational databases (PostgreSQL, MySQL, etc.).
• Experience with LLMs in production is a strong advantage.
• Experience with cloud platforms (AWS or equivalent) is a plus.
• Independent, fast learner, and passionate about exploring new technologies.
• Proactive team player with a desire to impact our team, our product, and our customers.
• Research-based master’s degree in Computer Science, Data Science, Statistics, or a related field
• Previous professional experience in Data Science and hands-on data analysis, with the ability to investigate
• complex datasets, test hypotheses, and translate findings into engineering decisions
• Ability to independently research and evaluate new tools, technologies, and platforms, build proofs of concept, and drive their integration into production systems