Full Stack AI/ML Engineer

pAutomate your Visual Content. Stop wasting time on manual graphic production. With CHILI GraFx, users generate localized, brand-proofed campaign assets on the fly. Controlled centrally, embraced locally. /ppJoin CHILI publish to develop production-grade AI features for their cloud platform, focusing on machine learning, backend systems, and product integration. The role involves architecting Vector DB solutions, building scalable ML pipelines, and owning MLOps practices in a collaborative, international team based in Belgium. /ph3Job Description /h3h3Full Stack AI/ML Engineer /h3ulliHybrid /liliDelivery /li /ulpJoin us to turn AI ideas into real product features used by our customers worldwide. Work with a curious team building smarter tools for creative automation. /ppstrongThink you've got the talent? Let's talk. /strong /ppAt strongCHILI publish /strong, we build a cloud platform that helps brands and agencies create, automate, and scale digital content with ease. AI and machine learning are becoming central to how we help our customers work smarter
- from intelligent content automation to smart templating, recommendations, and beyond. /ppWe're not hiring for a checkbox. We're looking for someone who wants to strongshape how AI gets built into a real product /strong, used by real people, at scale. Closely working together with your team members and directly with our Product team. /ppstrongWhat you'll be doing /strong /ppYou'll work at the intersection of machine learning, backend systems, and product
- turning ambitious ideas into production-grade AI features that our customers rely on every day. /pulliArchitect and maintain Vector DB solutions and RAG systems that power intelligent search, content suggestions, and automation features in our platform. /liliDesign and build scalable ML pipelines that go from experimentation to production without losing rigor or reliability. /liliBridge the gap between models and product
- you won't just train models, you'll wire them into real user-facing features and backend services, end to end. /liliOwn MLOps practices across the team: versioning, monitoring, deployment pipelines, model drift detection, and continuous evaluation. /liliCollaborate closely with product and engineering to translate fuzzy business problems into well-defined ML problems
- and ship solutions that actually move the needle. /liliStay current with the fast-moving AI landscape and bring well-considered ideas on where we should invest next. /li /ulpstrongWho you are /strong /pulliYou take ownership
- not just of your code, but of outcomes. If something isn't working, you don't wait to be told. /liliYou're relentlessly curious
- you follow the latest AI developments not because you have to, but because you genuinely want to know what's possible. /liliYou balance speed with thoughtfulness
- you can ship fast without cutting corners that matter. /liliYou thrive in a collaborative, international team where English is the working language and diverse perspectives are genuinely valued. /li /ulpstrongHow we work /strong /pulliWe're an international team headquartered in Belgium. We move fast, but thoughtfully.

We offer
flexible and remote-friendly work arrangements, while expecting regular presence at our Belgian HQ. For this role we are specifically searching for a Belgium based profile (or able to be present weekly in our HQ) since regular office meetings are expected. /liliSalary and overall package are competitive and discussed transparently from the first screening call. /li /ulpstrongCurious? /strong /ppIf this resonates, we'd love to connect. Send us your strongCV and a short cover letter /strong
- tell us about an AI/ML system you're proud of building, and where you see yourself making the biggest impact at CHILI publish. /ph3Job requirements /h3pstrongMust-haves: /strong /pulliAt least 2 years of production experience building and operating Vector Databases (e.g. PGVector, Pinecone, Weaviate, Qdrant) and RAG architectures at scale. /liliHands-on experience with MLOps: model deployment, versioning, monitoring, CI/CD for ML, and infrastructure tooling (e.g. MLflow, Weights Biases, SageMaker, or similar). /liliStrong full-stack development ability
- you can build the API layer, hook it up to a frontend, and know enough about UX to make it intuitive for clients. You feel comfortable building API’s in Node (TypeScript) and train, evaluate, run scripts and models in Python. /liliA solid grasp of LLM ecosystems
- prompt engineering, fine-tuning trade-offs, embedding models, and how to build reliable, observable AI features in production, considering cost and performance. /liliThe ability to communicate clearly about functional and technical aspects to both engineers and non-engineers. /li /ulpstrongNice-to-haves: /strong /pulliBackground in data science or applied ML research
- familiarity with model evaluation, experimentation design, and statistical thinking. /liliExperience with cloud-native ML i