Senior AI Engineer - Agentic Systems

Must-haves :

- 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.