Geforderte Skills
- AI/ML Engineering
- MLOps
- AIOps
- CI/CD
- Azure DevOps
- Git
- Docker
- Kubernetes
- Infrastructure as Code (IaC)
- Terraform
- Python
- Software Engineering
- Agentic Frameworks
- RAG (Retrieval-Augmented Generation)
- Technical Leadership
Sprachen: Dutch
Jobbeschreibung
IT-Planet is seeking an AI Engineer for a long-term, full-time position in Antwerp. The role involves evolving AI solutions from prototype to scalable production environments, focusing on areas like claims management, fraud, and underwriting.
Project overview
IT-Planet is the HR specialist for flexible and temporary staffing in IT. We handle IT projects at various top 100 clients across Flanders and Brussels in the following IT domains: Application Development, Infrastructure Services & Software Testing. With 15 years of experience, we can perfectly meet your individual needs. With us, you can and may grow and learn, in short, flourish in your job. Sounds good? We currently have 180 great colleagues on projects. To further strengthen our team, we are currently looking for an AI Engineer (m/f/x) to start at our client in Antwerp.
This role offers a unique combination of engineering depth and innovation. You will help AI solutions evolve from prototype to scalable production environments with a visible impact on core processes such as claims management, fraud, and underwriting. You will have the opportunity to further develop both MLOps/AIOps and provide technical direction for agentic solutions, and you will help build the foundation on which we will roll out AI in the coming years. You will have the autonomy to help shape technical standards and best practices.
As an AI Engineer, you will be part of the AI team and report to the Team Lead. You will work from Antwerp in an Agile team to bring AI solutions into production reliably, scalably, and securely.
- This position can be filled with both a permanent contract (employee status) and a freelance contract
- Duration: Long term
- Region: Antwerp
- Fulltime
Responsibilities
Profile
Expectations:
What's included
You will be compensated according to your tasks, knowledge, and competencies. We carefully develop a motivating salary package including an attractive fringe benefits package with group and hospitalization insurance, meal vouchers, eco-cheques, an annual budget for the purchase of personal IT equipment, etc. We also offer you a company car with a charging or fuel card.
What really matters
You and your personal wishes and needs are central to us. Through personal follow-up and contacts, we strive together for your desired career. We offer you the growth opportunities and challenges you aspire to, and guide you through a professional training and development policy. We consider work-life balance important; in this context, we also offer flexibility. Additionally, we organize many great events annually to which you are always invited! We also sponsor several festivals each year.
All of the above, and much more, ensures that we win the Great Place to Work award year after year!
Freelance? Don't hesitate to contact us for a tailor-made proposal. And yes, even as a freelancer, you can enjoy training and events through IT-Planet!
- In this role, you combine in-depth expertise in AIOps/MLOps with technical leadership around agentic automation. You work independently and are the technical point of contact for the team
- You own the entire process: together with the business, you translate a concrete problem into a solution that runs in production and is used
- You guide data scientists in deploying models to production environments and ensure that AI solutions meet high quality, security, and governance requirements
- You design and build reliable data and inference pipelines, implement CI/CD processes, and set up observability through logging, monitoring, alerts, and drift detection. You also collaborate with Security, Risk & Compliance to develop AI solutions that are compliant by design
- You take a leading role in the development of agentic solutions. From proof of value to production, you design and build performant solutions that securely integrate with internal systems via APIs, tool use/function calling, RAG, and robust orchestration patterns
- You define evaluation and testing frameworks (including red teaming and guardrails), perform code reviews, and help embed best practices within the team. You work AI-first yourself and help build reusable components and standards
- In addition to technical realization, you advise the Product Owner and Domain Product Manager on architectural choices, risks, feasibility, and sequencing. You challenge designs from external delivery partners and prevent standalone PoCs and shadow AI
- You contribute to AI governance, documentation, standards, and the further development of AI literacy within the organization. You work closely with architecture, IT, data scientists, and external delivery partners
- At least 6 years of experience in software or data engineering, with at least 3 years as an AI/ML Engineer, MLOps Engineer, or in a similar role, with AI solutions that you have brought into production yourself
- Experience as a technical lead with contributions to architectural choices, performing code reviews, and coaching colleagues
- Strong knowledge of AIOps/MLOps, CI/CD, Azure DevOps, Git, Docker, containers, Kubernetes, and Infrastructure as Code (Terraform)
- Experience with model registries, feature stores, experiment tracking, monitoring, alerting, and data and inference pipelines
- Strong Python knowledge and solid software engineering practices (testing, clean code)
- Experience with Azure ML, Azure OpenAI, AI Foundry, Azure AI Search, Fabric, Jfrog/ACR, and AKS
- Knowledge of agentic frameworks, RAG, Copilot Studio, dspy, tool use/function calling, and semantic caching
- Knowledge of security, governance, RBAC, secrets management, data privacy, and the EU AI Act is a strong asset
- Knowledge of Microsoft Fabric & DB / Vector DB
- Strong communication skills, coaching attitude, pragmatic and results-oriented; you dare to make decisions and clearly explain technical choices to non-technical colleagues
- Insurance knowledge is an advantage for performing the job
- Languages: Dutch and English, with basic knowledge of French
- Bring AI from experiment to production and make a difference in our core processes
- Take the lead in developing secure, performant, and scalable agentic solutions
- Collaborate with data scientists, architects, and IT experts on the next generation of AI solutions
Project details
- Start: flexible
- Remote: hybrid
- Location: Antwerpen, Antwerp, Belgium, BE
- Languages: Dutch
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