Ai Engineer

Your Role at Yuki 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 Gen AI features to land robustly, performantly, and reliably in front of our accountants and entrepreneurs.It is our newest role, so you’ll sit close to Product and Design, thinking like a mini product manager about where AI can add real value, then building it.If you get excited about agentic AI and want to shape where a product goes, this one’s for you.Responsibilities Build Gen AI 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 with Product and Design.Job Requirements 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 Gen AI 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.What We Offer 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.#J-*****-Ljbffr

Job Requirements 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 Gen AI 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. What We Offer 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. #J-*****-Ljbffr