AI Engineer

Yuki

AI Engineer building capabilities around AI models for Yuki's products. Focus on robust integration for accountants and entrepreneurs, enhancing the user experience.

Posted 7/6/2026full-timeAntwerp • 🇧🇪 BelgiumMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

.NETPython

About the role

Key responsibilities & impact

As our AI Engineer, your mission is to take AI models into the Yuki product and build the capabilities users actually touch.
You get predictions and GenAI features to land robustly, performantly, and reliably in front of our accountants and entrepreneurs.
Build GenAI capabilities: Ship compound AI systems, retrieval-augmented features, and in-product prompt orchestration.
Productionize models: Own serving, APIs, runtime performance, and latency so AI lands reliably in the live app.
Serve retrieval: Build in-product vector search and retrieval integration, and be first response for model-quality regressions in production.
Land it in the product: Integrate AI predictions into the .NET backend alongside our backend engineers.
Co-create with Product: Spot new use cases, help shape the roadmap, and build features (including MCP-based capabilities) with Product and Design.

Requirements

What you’ll need

Strong AI software engineering background (min 3 years), with real experience putting ML/AI into production at scale.
Hands-on with the stack: Python, Databricks, vector databases, MLflow (serving and monitoring side), and solid API design.
Comfortable with GenAI application patterns: RAG, agents, and orchestration (experience with an AI agent framework is a big plus).
A product-minded builder: you think about use cases, not just tickets, and can co-create with Product and Design.
Nice to have: C# (.NET), MLOps tooling, and experience building MCP for a tool or platform.
Fluent English is a must.

Benefits

Comp & perks

Flexibility: Hybrid working options and gliding hours to suit your lifestyle.
Growth Opportunities: Annual training budgets and access to professional development.
International Culture: Work in a dynamic, diverse, and inclusive team with colleagues from all over the world.
Engaging Work Environment: Offices in Antwerp, Barcelona, and Porto, with team-building activities, social events, and inspiring spaces to collaborate.

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Hard Skills & Tools

Machine LearningAI Model ProductionPythonC# (.NET)DatabricksVector DatabasesMLflowAPI DesignMLOps ToolingPrompt Orchestration

Soft Skills

Product MindedCo-CreationUse Case Identification