AI Engineer - #44831

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.

• 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.

• 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.

• 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

Join Dataminded as an AI Engineer. Thrive in a no-nonsense culture, empower data-driven success, and grow with a passionate, collaborative team. Let's build lasting partnerships together!