Get Logan Inc

5+ years backend Python

Has shipped at least one production LLM agent (tool-using, not a chat wrapper). They should be able to describe what broke and how they measured quality.

Hands-on with Claude SDK / OpenAI Assistants / LangGraph (Claude SDK preferred — your stack)

RAG in production: chunking strategy choices, hybrid search, retrieval evaluation

Vector DB experience: Qdrant, pgvector, or Pinecone

Treats prompt engineering as an engineering discipline — has eval suites, not just "vibes-based" iteration

Has built at least one system with feedback loops (not static RAG that's frozen on day one)

Strong nice-to-haves

Frappe / ERPNext experience (willingness to learn it is fine — it's quirky but documented)

Insurance, fintech, or another regulated-data domain

Telegram Bot API

Document AI: Google Vision, Textract, or layout-aware OCR

Eval frameworks: Braintrust, LangSmith, or has rolled their own