Engineering manager

The Role:

We are seeking an experienced Engineering Manager to lead the design, development, and operation of our cutting-edge AI platform. This platform, will be the foundation for training and deploying sophisticated AI systems, with a particular focus on multi-agent architectures.This role requires a strategic thinker with strong technical leadership skills to guide a team of platform and AI engineers, ensuring the creation of a robust, scalable, and efficient environment for our AI initiatives.

Key Responsibilities:

• Lead the Team: Guide and mentor a team of software engineers, AI engineers, and MLOps specialists, encouraging innovation and technical excellence in AI infrastructure.

• Own the Roadmap: Define and manage the development roadmap for the AI platform, ensuring it supports the company’s goals and AI R&D needs.

• Build the Platform: Design, build, and maintain a scalable, resilient AI platform using best practices in MLOps, automation, security, and infrastructure-as-code.

• Support the ML Lifecycle: Develop platform components for managing data, tracking experiments, distributed training, model deployment, and monitoring—including for advanced systems like multi-agent AI.

• Tooling & Integration: Choose and manage key MLOps tools (e.g., Kubeflow, MLflow, Argo, CI/CD systems, artifact stores, monitoring tools) together with our DevOps team.

• Optimize Resources: Ensure the platform efficiently handles compute resources, scheduling, caching, communication flows and costs for large-scale AI workloads.

• Collaborate with Users: Work closely with internal and external AI researchers and engineers to understand their needs and improve development and deployment workflows.

• Ensure Best Practices: Define and enforce platform security, data governance, and operational excellence together with our AI safety team.

• Stay Ahead: Keep up with new trends in AI infrastructure, MLOps, LLMOps, Kubernetes, and cloud-native tech to inform strategy.

• Optional: Represent the platform externally at conferences, in forums, or open-source communities.

Qualifications:

• Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or similar.

• Strong experience building software platforms and managing technical teams.

• Proven track record leading platform or MLOps teams and delivering production systems.

• Strong hands-on experience with Kubernetes, AI infrastructure, and cloud-native tools (e.g., Docker, databases, caches).

• Skilled in building MLOps pipelines and infrastructure for training and deploying ML models.

• Proficient in programming (e.g., Python, Go) and using infrastructure-as-code tools (e.g., Terraform).

• Familiar with ML frameworks (e.g., TensorFlow, PyTorch, JAX) and their system needs.

• Experience with AI infrastructure for complex workloads—multi-agent systems or reinforcement learning is a big plus.

• Deep knowledge of distributed systems, networking, storage, and security in cloud/on-prem environments.

• Experience with at least one major cloud platform (AWS, GCP, Azure) is a strong advantage.

• Fluent English required; other European languages are a bonus.

Soft Skills:

• Strong leadership and mentoring abilities.

• Strategic thinker with a passion for building scalable AI infrastructure.

• Great communicator who can bridge engineering and research needs.

• Proactive problem-solver with a focus on automation and operational excellence.

• Curious, open-minded, and eager to continuously improve.

What We Offer:

• Join an innovative team and experience company growth.

• We believe in investing in our employees and providing them with opportunities for growth and career development.

• Work in a hybrid environment with flexible scheduling.

• We offer a remuneration that values your experience.

• A chance to build foundational infrastructure for one of the most transformative AI and silicon engineering companies in Europe.

• The position will be based in Ghent (Belgium). Occasional travel to Barcelona (Spain) might be required.

We are looking for exceptional leaders ready to build the infrastructure backbone for the future of AI. If you’re passionate about creating robust platforms that empower cutting-edge AI development, join us on our mission

At Openchip & Software Technologies S.L., we embrace diversity and inclusion. We foster a work environment where everyone feels valued, respected, and empowered to reach their full potential – regardless of race, gender, ethnicity, sexual orientation, or gender identity.