RAG & Retrieval Engineer

About the Role

GoMeasure Platform runs goTalentOS — a specialised marketplace for AI workers, where engineers and domain experts don't only review and improve AI systems but also build and deploy them. We're looking for a RAG & Retrieval Engineer to join this network on a flexible, contract basis. Own retrieval quality — the most common failure mode in enterprise AI deployments. You'll work remotely, pick up engagements matched to your expertise, and be paid hourly for work that ships.

Key Responsibilities

• Design chunking, embedding and indexing strategies for real corpora.
• Build and tune hybrid retrieval, reranking and query rewriting.
• Measure retrieval quality directly rather than inferring it from answer quality.
• Diagnose whether a bad answer came from retrieval, context or the model.
• Keep retrieval performant and affordable as the corpus grows.

Required Qualifications

Domain Expertise

• Shipped a retrieval-backed system against messy, real-world documents.
• Practical grasp of embeddings, vector search and reranking trade-offs.
• You evaluate retrieval with metrics, not vibes.

Ways of Working

• Comfortable working independently and asynchronously in a remote, engagement-based setup.
• Strong written communication — decisions and trade-offs are recorded, not just made.
• Able to hand work over cleanly: another engineer can pick it up from your documentation.

How It Works

• Fully remote, contract engagements sized to your availability.
• Paid hourly at a rate set by role, seniority and verified skill level.
• Your skills are verified once through GoMeasure and reused across engagements.