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
Hubs par intention
Pages d’atterrissage avec filtres pré-appliqués sur le job board public—remote et hybrid, ML et junior ML, NLP/LLM.
Collections
Hubs profils par intention
Pages d’atterrissage qui ouvrent l’annuaire avec des recherches préréglées—ML, junior ML, NLP/LLM, MLOps et vision par ordinateur.
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.