AI Engineer
Hybrid-Leuven, hybrid-Antwerp
At Dataminded we believe AI is an engineering discipline, not just a research experiment. We are looking for an AI Engineer who can bridge the gap between a prompt and a production-grade product. In this role, you will own the full lifecycle of AI systems, ensuring they are as scalable, secure, and observable as any other mission-critical data product.
About Dataminded
Dataminded advises its customers in data strategy & architecture, helps implementing data platforms and analytics use cases and offers training. We have delivered successful projects in the areas of energy, telecom, biotech and others. To achieve these results, we keep an open mind, we adapt fast and we always tell the truth as we see it.
Dataminded is passionate about data and engineering and has rapidly grown from an idea to a leader in data & analytics. We coach and mentor each other. We learn from our mistakes and share our learnings. We put our people ahead of our products and profits.
About the role
Responsibilities
Build agentic workflows, RAG pipelines, and LLM integrations, owning the process from initial architecture to final deployment.
Translate business problems into AI solutions, collaborating with stakeholders to determine the best fit between generative AI, traditional ML, or standard engineering.
Treat AI pipelines with high rigor ensuring they are versioned, observable, idempotent, and built on solid data foundations.
Prioritize scalability, security, clean code, and testability as core components of every solution.
Drive quality in production by defining metrics, running evals, and detecting regressions to ensure continuous improvement beyond the launch phase.
Qualifications
Strong software engineering background with a focus on Python or similar languages.
Experience with LLM orchestration (e.g., LangChain, LlamaIndex) and vector databases.
Proven ability to deploy and maintain production-grade data or AI pipelines.
A product-oriented mindset with an interest in user experience.
What we Offer
The opportunity to take full ownership from architecture to deployment.
A highly collaborative, inclusive environment where every voice is heard and valued
A competitive salary and other excellent extra-legal benefits
A flexible work schedule and the ability to work from home
Wide-open career paths
Optional company car (choose your own green car!), or Mobility Budget
Healthy and rich breakfasts
Recruitment Process
We believe that a great fit is a two-way street. Our process is designed to help you get to know us, and for us to understand your skills and aspirations. We aim for a thorough, transparent, and respectful journey.
The Initial Company Check: A friendly discussion to see if we're a great fit for each other. We’ll focus on your intrinsic motivation, ambition, and how you see yourself fitting into our culture.
Career Talk (Optional): This is an opportunity for us to dive deeper into your career goals. We want to help you make a career decision and give you a clear picture of what working with Dataminded is all about.
Technical Interview (depending on the role): The goal of this phase is to assess your technical and non-technical skills, as well as your communication, problem-solving, and software engineering abilities. You'll first have an interview, and then you'll complete and present a practical technical exercise.
This is the final step! We'll make an official offer, answer any remaining questions you have about the process, and discuss the financials and contract details.
