Artificial Intelligence Engineer

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.

What you'll be doing

- 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.

What you'll need to succeed

- 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.

- Lots of learning and experimentation opportunities and open career paths.

- Optional company car (choose your own green car!) or compensation in cash.

Dataminded has offices in Antwerp and Leuven, and we work in a hybrid setup.