AI-Driven Application Developer (HPC/AI Tooling)

Join Bull, a leading European provider of IT solutions and services. As an AI-Driven Application Developer, you will be part of a small team focused on designing, developing, and maintaining a business-critical internal tooling platform dedicated to HPC/AI cluster design. You will leverage modern AI-assisted development tools to accelerate coding, prototyping, and problem-solving. This role offers the opportunity to work on cutting-edge AI-assisted development workflows and contribute to a strategic tool for HPC/AI infrastructure design.

• Continuer à développer, à productiser et à maintenir une application interne critique pour la conception et la simulation de clusters HPC/AI.
• Utiliser des outils de développement assistés par l'IA pour accélérer le codage, le prototypage et la résolution de problèmes.
• Participer à l'ensemble du cycle de vie du logiciel : conception, mise en œuvre, test, déploiement et maintenance.

Profile description:

**Technical Skills & Experience**

· Strong experience in software development in a Linux environnent.

· Familiarity with AI-assisted coding tools (e.g., Claude, Gemini, Copilot) and modern development practices

· Experience building and maintaining web applications or internal tooling

· Understanding of HPC, distributed systems, or AI infrastructure (clusters, GPUs, networking, scheduling) is highly desirable

· Knowledge of:

o APIs and backend development

o Frontend frameworks (React, Vue, or equivalent)

o Databases (SQL/NoSQL)

o Version control (Git)

· Experience with CI/CD pipelines, automation, and DevOps practices using AI-driven tooling.

· Ability to troubleshoot, debug, and optimize complex systems

**Soft Skills & Mindset**

We are looking for someone who is not only technically strong but also demonstrates the right mindset:

· Reactive and proactive: able to quickly respond to issues and adapt to changing priorities

· Open-minded: embraces new ideas, tools, and ways of working (especially AI-driven development)

· Eager to learn: continuously develops skills and stays up to date with emerging technologies

· Knowledge sharing: actively contributes to team growth by sharing insights, best practices, and feedback

· Collaborative: works effectively with cross-functional teams

· Autonomous: capable of driving tasks independently while maintaining alignment with team goals

**Nice to Have**

· Experience in HPC cluster design, capacity planning, or performance modeling

· Exposure to AI workloads and infrastructure constraints

· Exposure to network fabric design and implementation

· Familiarity with containerization