Help building an AI-native procurement platform where machine learning models, retrieval systems, and AI agents operate at enterprise scale. As a Senior AI Platform Engineer, you will build the platforms, automation, and operational capabilities that enable AI solutions to be deployed, monitored, and continuously improved in production.

Description

• Design, build, and enhance the platform capabilities required to deploy and operate AI systems in production.
• Develop automated pipelines for model packaging, deployment, versioning, testing, rollout, rollback, and lifecycle management.
• Build evaluation frameworks that measure model quality, retrieval effectiveness, latency, cost, and business impact.
• Implement monitoring and observability for models, inference services, retrieval pipelines, and AI agents using metrics, logging, tracing, and operational telemetry.
• Partner with Machine Learning Engineers to successfully transition models from experimentation to production.
• Collaborate with Platform Engineering to improve infrastructure, scalability, security, reliability, and operational resilience.
• Develop deployment strategies that support experimentation, canary releases, A/B testing, and progressive rollouts.
• Implement governance controls that ensure reproducibility, version management, auditability, and operational compliance.
• Drive automation across operational activities to increase engineering productivity and deployment confidence.
• Contribute to the evolution of the Agentic Software Development Lifecycle (ASDLC) by embedding evaluation, automation, and operational intelligence into AI delivery processes.

Profile

• Experience operating production machine learning or AI platforms.
• Software engineering skills with experience building automation, deployment pipelines, and operational tooling.
• Exposure to cloud-native infrastructure, container platforms, and distributed systems.
• Deep understanding of CI/CD, infrastructure as code, release automation, and production operations.
• Strong capability implementing observability across complex distributed applications.
• Understanding of model lifecycle management, deployment strategies, experimentation, and production evaluation.
• Track record collaborating across Platform Engineering, Machine Learning, Product Engineering, and Data Engineering teams.
• Analytical and troubleshooting skills with a focus on reliability, operational excellence, and continuous improvement.
• Ability to simplify operational complexity through automation and reusable platform capabilities.

Job Offer

• Permanent contract.
• Salary range of EUR 72,000 to EUR 85,000.
• Relevant bonus
• Meal allowance through Coverflex.
• Social Security contributions.
• Health Insurance
• Other benfits