AI Engineer
Role details
Job location
Tech stack
Job description
Join our innovative team dedicated to leveraging AI technologies to enhance business productivity and efficiency. We are committed to providing cutting-edge solutions that empower our internal clients to achieve their goals., Technical Unblocker & Expert Support
- Act as the senior technical reference point for the team.
- Help troubleshoot complex issues in AI pipelines, agents, integrations, and cloud environments.
- Coach team members on architecture patterns, best practices, and efficient problem solving.
AI Engineering & Architecture
- Design and implement AI solutions using Azure AI services (e.g. Foundry, Azure OpenAI, RAG, MCP, …) and related services.
- Translate business problems into clear technical designs, architectures, and implementation approaches.
- Build and extend AI agents with plugins, connectors, tool/function calling, and enterprise integrations.
ML / MLOps Foundations
- Set up and maintain the ML/GenAI engineering framework (experiment tracking, CI/CD, evaluation, monitoring).
- Build and deploy ML models and GenAI components in Python.
- Implement quality, performance, cost, and safety evaluation loops.
Cloud & Platform Engineering
- Containerize and deploy workloads using Docker, serverless components, and Azure cloud services.
- Provide deep technical input on DevOps, CI/CD, networking, identity, and security configurations needed for AI workloads.
Integration & Delivery
- Ensure solutions are production-ready: scalable, observable, secure, and compliant.
- Build robust APIs and services integrating AI components with enterprise systems.
Collaboration and Project Management
- Collaborate with cross-functional teams to gather requirements and deliver solutions.
- Manage projects related to development and integration, ensuring timely delivery.
Continuous Improvement and Innovation
- Stay updated with the latest developments in AI.
- Propose and implement improvements to enhance the performance and capabilities of existing AI solutions.
Requirements
We are looking for a senior technical expert who can design, build, and troubleshoot advanced AI solutions end-to-end. You will be the go-to person for complex technical questions, unblock team members, and ensure our AI solutions - from AI agents to ML models to Microsoft cloud-native deployments - are built on solid, scalable foundations., Must-Have
- 7+ years in AI/ML engineering, data/ML platform engineering, or comparable roles.
- Strong Python skills (data processing, ML, API services).
- Deep hands-on experience with Azure AI (e.g. Foundry, …).
- Experience building (complex) AI agents, as well as with traditional ML, evaluation, and lifecycle.
- Practical experience with Docker, CI/CD, cloud architecture, and secure deployments.
- Ability to turn unclear problems into clear technical designs.
- Experienced with the Microsoft technology stack
- Ability to create and maintain comprehensive documentation.
Nice-to-Have
- Knowledge of data lakehouse platforms (Fabric, Databricks) and its AI capabilities.
- Familiarity with project management methodologies and tools.
- Experience with Microsoft 365 Copilot and Copilot Studio integrations.
Educational Background
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience with AI technologies and frameworks.
Soft Skills
- Analytical skills
- Excellent communication and presentation skills.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Self-learning, selfstarter, hands-on, naturally curious, constructive critical thinking
Required experience 7 years
Benefits & conditions
- You will be welcomed by a team full of enthusiastic experts who will support you and the projects in the best possible way you can imagine.
- A no-nonsense culture where entrepreneurial skills are embraced.
- A long-term employment with an emphasis on personal development.
- Hybrid working (including satellite offices in Kallo, Ekeren, Evergem).
- Competitive remuneration depending on relevant knowledge and experience.
- Freelance or contract (possibility for extra-legal benefits such as meal vouchers, hospitalization insurance, company car,...)