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.