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Ask HN: Who wants to be hired? (August 2026)

156 points · 477 comments · whoishiring

  1. naman_411 · · focus · HN ↗
    Location: Bengaluru, India (UTC+5:30) Remote: Yes, remote only Willing to relocate: No Technologies: Python, FastAPI, Qdrant, PostgreSQL, Redis, Docker, LangGraph, LangChain, MCP, TypeScript, Next.js Résumé&#x2F;CV: <a href="https:&#x2F;&#x2F;namangupta.dev" rel="nofollow">https:&#x2F;&#x2F;namangupta.dev Email: naman@namangupta.dev

    AI engineer, ~2 years on production RAG and agent systems. Contract or full-time.

    I make retrieval measurable. Most RAG that &quot;feels wrong&quot; has no eval set, so nobody can say whether the fault is chunking, embeddings, reranking or the prompt. I build the eval set from your corpus first, then fix what the numbers point at.

    Recent: rebuilt Qdrant retrieval with clause-aware chunking and cross-encoder reranking. Precision ~55% to 95%+ on their internal evaluation dataset, across 500+ queries. Cut manual review ~60% with LangGraph workflows using conditional routing and human-in-the-loop gates.

    Chunking writeup on the site: fixed-width severed 57% of clauses in the test corpus, clause-aware kept 99.1% intact.

    OSS: MCPHub (MCP server testing harness, JSON-RPC inspector, P50&#x2F;P95&#x2F;P99 latency) and AgentMesh (multi-agent orchestrator with approval gates).

    4+ hrs US Eastern overlap, full CET.

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