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Full Stack AI/ML Engineer

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CHILI publish

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Location:
Belgium , Aalst

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Join 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. At CHILI publish, 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.

Job Responsibility:

  • Architect and maintain Vector DB solutions and RAG systems that power intelligent search, content suggestions, and automation features in our platform
  • Design and build scalable ML pipelines that go from experimentation to production without losing rigor or reliability
  • Bridge 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
  • Own MLOps practices across the team: versioning, monitoring, deployment pipelines, model drift detection, and continuous evaluation
  • Collaborate closely with product and engineering to translate fuzzy business problems into well-defined ML problems - and ship solutions that actually move the needle
  • Stay current with the fast-moving AI landscape and bring well-considered ideas on where we should invest next

Requirements:

  • At least 2 years of production experience building and operating Vector Databases (e.g. PGVector, Pinecone, Weaviate, Qdrant) and RAG architectures at scale
  • Hands-on experience with MLOps: model deployment, versioning, monitoring, CI/CD for ML, and infrastructure tooling (e.g. MLflow, Weights & Biases, SageMaker, or similar)
  • Strong 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
  • A 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
  • The ability to communicate clearly about functional and technical aspects to both engineers and non-engineers

Nice to have:

  • Background in data science or applied ML research - familiarity with model evaluation, experimentation design, and statistical thinking
  • Experience with cloud-native ML infrastructure (Azure, AWS or GCP ML- and DevOps tooling)
  • Exposure to content generation, document understanding, or creative (mar) tech - the domain we operate in

Additional Information:

Job Posted:
March 19, 2026

Work Type:
Hybrid work
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