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Engineering · AI / Machine Learning / LLM Engineering
RAG Engineer
Build and refine retrieval pipelines for AI features.
Apply nowBack to CareersSnapshot
TeamEngineering
CategoryAI / Machine Learning / LLM Engineering
TypeFull-time
LocationRemote
LevelMid-Senior
Focus
RAG flows, embeddings, vector stores
Role overview
You will set up RAG pipelines, manage embeddings, and refine vector search behavior. You’ll help improve the quality of responses from the system.
Responsibilities
- Create RAG flows and retrieval logic.
- Tune embeddings and chunking.
- Work with product on behavior checks.
- Support evaluations and logs.
Requirements
- 3+ years in AI or ML.
- Knowledge of vector stores.
- Comfort with Python.
- Clear thinking and teamwork.
Perks
Remote-friendly
Tooling access
Learning funds
Tech meetups
Ready?
This could be your best role yet.
Apply now or talk to us about the team.