ML Ops Engineer

About us:

Our mission is to supercharge IT enterprise organizations with custom AI solutions. Headquartered in the heart of Munich with a hub in Lisbon, we’re a team of builders, dreamers, and problem-solvers tackling some of the most exciting and complex challenges in AI native development adoption.

We operate on speed, adaptability, and extreme ownership. That means we move fast, stay flexible, and take full responsibility for our impact. Our clients trust us because we don’t ship generic tools — we embed AI into real-world enterprise workflows with precision and empathy.

What You’ll Do:

As a ML Ops Engineer, you’ll be the backbone of our technical infrastructure — owning the delivery pipeline, model serving stack, and runtime systems that power our AI workflows.

Your mission: ensure that our AI agents, APIs, and web interfaces are reliable, scalable, and fast, from prototype to production.

• Build and maintain backend APIs and services to support AI-driven features and workflows.

• Own our ML Ops pipeline: from model versioning and testing to containerized deployment and CI/CD.

• Set up observability and monitoring for LLM-based services and agentic systems.

• Manage infrastructure for fine-tuning, retrieval-augmented generation (RAG), and real-time agent orchestration.

• Collaborate closely with AI engineers to streamline model integration, scaling, and latency optimization.

• Contribute to frontend features and internal tooling as needed — you’re not afraid of building end-to-end.

• Automate everything you can — and keep our infrastructure lean, secure, and maintainable.