Engineering manager AI platform

Openchip And Software Technologies SL

Job Location:

Ghent - Belgium

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

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 companys 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 monitoringincluding 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 workloadsmulti-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 youre 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.

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 ...

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 companys 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 monitoringincluding 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 workloadsmulti-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.