Production AI/ML Engineer: Vector DB & MLOps Lead

Startup Atlas; Oost-Vlaanderen; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

CHILI publish, a Belgium-based cloud platform, seeks a Full Stack AI/ML Engineer to turn ambitious ideas into production-grade features. You will work at the intersection of ML, backend systems, and product, delivering user-facing AI capabilities at scale.

You'll own Vector DB and RAG architectures, design scalable ML pipelines, and drive MLOps practices across the team, collaborating closely with Product and Engineering in a hybrid, Belgium-based setup.

Qualifications

• At least 2 years of production experience building and operating Vector Databases and RAG architectures at scale.
• Hands-on experience with MLOps: 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.

Responsibilities

• 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.

Skills

Vector Databases

RAG architectures

MLOps

Full-stack development

Node.js/TypeScript

Python

LLM ecosystems

Clear communication

Tools

MLflow

Weights & Biases

SageMaker

Weaviate

PGVector

Pinecone

Qdrant

Job description

CHILI publish, a Belgium-based cloud platform, seeks a Full Stack AI/ML Engineer to turn ambitious ideas into production-grade features. You will work at the intersection of ML, backend systems, and product, delivering user-facing AI capabilities at scale.

You'll own Vector DB and RAG architectures, design scalable ML pipelines, and drive MLOps practices across the team, collaborating closely with Product and Engineering in a hybrid, Belgium-based setup.