Employers · RAG
Hire RAG engineers
Target engineers who own retrieval quality, citation policies, and production RAG—not generic chatbot demos.
RAG hiring checklist
Signals that predict production success.
- Hybrid search and reranking
- Offline eval suites tied to product metrics
- Chunking and metadata strategy
- Hallucination and citation guardrails
- Embedding model selection and refresh
- Latency and cost per query
- Security: ACLs on document indexes
- Stakeholder communication on tradeoffs
Collections
Intent-based job hubs
Landing pages with filters pre-applied on the public board—remote and hybrid workplace presets, ML and junior-ML searches, and NLP/LLM intent.
Collections
Intent-based talent hubs
Landing pages that open the directory with search presets—ML, junior ML, NLP/LLM, MLOps, and computer vision intent.
FAQ
Benchmark writeups, failure analysis, and shipped features with metrics.
Ask about PII, retention, and audit logs in screening.
Supported via contract posts and talent search.
LLM evaluation scorecards and prompt interview rubric on Ganloss.