Jobs / Belastingdienst
AI DevOps Engineer
Belastingdienst · Utrecht, UT, Netherlands
Utrecht, UT, NetherlandsExp: 5+ yrs4,818-7,094 EUR/monthlyOnsite
Remuneration
Individual choice budget (money and time), study facilities, parental leave, and commuting allowance
Location
Utrecht, UT, Netherlands
Visa sponsorship
Not specified
Job summary
The AI DevOps engineer brings generative AI components together into secure, reliable, observable production applications, with a primary focus on solutions for the Objections team. The role designs and manages integrations, workflows, CI/CD deployments, and monitoring; connects AI services to the existing IT landscape; develops missing shared components; and coaches fellow engineers. The work includes Python, FastAPI, Pydantic, Docker, Kubernetes, and operationalizing machine-learning models.
Benefits
Individual choice budget, convertible between money and leaveStudy facilitiesParental leaveCommuting allowancePersonal growth and career development opportunities
Qualifications
- At least 5 years of software engineering and DevOps experience, including API integration, CI/CD, containers, and configuration management.
- Extensive experience with observability and monitoring tools for logging, tracing, and metrics.
- Extensive Python experience and ability to write clean, testable code using frameworks such as FastAPI and Pydantic.
- Experience with Docker or Kubernetes and cloud-native development.
- Experience operationalizing machine-learning models and deploying models into production.
- University-level working and thinking ability; preferably in econometrics, statistics, mathematics, physics, data science, or software engineering.
- OpenShift experience is preferred.
- Generative AI experience, including monitoring token usage, hallucination signals, and user feedback, is preferred.
- GitOps and Infrastructure as Code experience is preferred.
Responsibilities
- Build generative AI solutions across the Agile Release Train, focusing primarily on the Objections team.
- Advise developers on solution design and integration, connect AI services to the existing IT landscape, and manage CI/CD deployments.
- Develop shared components when required components are missing.
- Deliver secure, reliable, measurable generative AI applications in production.
- Implement and manage integrations, workflows, deployments, and monitoring.
- Coach AI engineers and share knowledge across the team and department.
Skills
DockerKubernetesOpenShiftPython
Degrees
University-level working and thinking ability; preferably in econometrics, stati
Work schedule
32–36 hours per week
Industry
GovernmentData and analytics
Security clearance
Certificate of Conduct (VOG) required
Relocation
No