We’re looking for a Machine Learning Engineer who can build the brains of an AI solution, but who is equally comfortable building the body too. This is not a research role - you will design, build, and own AI-powered systems end-to-end, working closely with clients, a Delivery Manager, and an AI Consultant to translate real business needs into production solutions. If you thrive at the intersection of applied AI, solid engineering, and client impact, this is your role.
Key ResponsibilitiesDesign, build, and maintain AI-powered backend services - primarily Python - that run reliably in production
Own the full lifecycle of AI features: from scoping and prototype through to deployment and monitoring
Contribute across the stack where needed - backend is your core, but you’re comfortable touching APIs, data pipelines, and lightweight frontend integration when the project calls for it
Work closely with clients alongside the AI Consultant and Delivery Manager - understand their needs, translate them into technical solutions, and communicate clearly on progress and trade-offs
Uphold engineering best practices: code quality, performance, scalability, and security
3–5 years of experience building production systems, with a strong foundation in applied AI
Proven experience with modern GenAI design patterns including RAG and agent orchestration
Strong Python backend development skills (FastAPI or Django experience preferred)
Experience with chatbot or conversational AI development and vector databases (e.g. Pinecone, Weaviate, pgvector)
Experience with at least one GenAI orchestration framework (e.g. LangChain, LlamaIndex, Azure AI Foundry, AWS Bedrock etc.)
Familiarity with agentic AI patterns and multi-agent system design
Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
Bachelor’s or Master’s in Computer Science, AI, or a related technical field
Proactive and action-oriented - you seek ownership and don’t wait to be told what to do
Comfortable working in client environments: you ask good questions, listen well, and can explain technical decisions without jargon
Curious and pragmatic - you keep up with the fast-moving AI landscape and know when to reach for a new tool vs. When to keep it simple
Experience with DevOps practices: CI/CD, infrastructure as code, monitoring and observability
Frontend exposure - enough to integrate AI features into a UI or collaborate effectively with frontend developers (preferably React)
Familiarity with image generation models (ControlNet, LoRA, diffusion architectures)
Experience in a consultancy or agency environment
Office lunches, snacks & drinks
Learning budget & learning time off
Flexible hours & hybrid work options
4 weeks remote work per year from anywhere
Loyalty days: extra vacation after 3 & 6 years
Bike plan: 40% discount on commuting products
Gym/Sports subscription: 40% discount for your gym or sports facility under the Bedrijfsfitness Nederland network
Youwe is a full-service Digital Agency with over 25 years of delivering value to clients, and a diverse network of over 200 experts. We build digital platforms that connect data, optimize processes, and integrate AI.
Our primary goal is to empower businesses with tailored solutions designed to drive revenue growth, enhance profit margins, shorten time-to-market and boost operational efficiency.
Every day, we turn curiosity and creativity into solutions that make a real impact.
#J-18808-Ljbffr€70000 - €110000 monthly






