Engineering

Mid-Senior

Python / LLM Engineer

Own the AI layer of a live coaching platform: an LLM assistant grounded in a real behavioural-science methodology, retrieval over Qdrant, and the evaluation discipline that keeps it honest.

Jaipur, India

remote friendly (IST) Full-timeBispy bot, Qdrant retrieval, AI coaching, scoring/ML

All roles are based in Jaipur, India — in office only, not remote.

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The role

You'll own the AI capability of a production platform: Bispy, an LLM coaching assistant that must stay inside a client's behavioural-science methodology — an LLM freelancing generic advice would undermine the intellectual property the product is built on. The work is the unglamorous, decisive part of applied AI: retrieval quality over Qdrant, prompt and context engineering, evaluation suites that catch regressions before users do, and the scoring/ML pipeline behind assessments.

Role details

What you'll do

Own the LLM coaching layer end to end: prompts, context assembly, retrieval, fallbacks, and cost control




Build and tune retrieval over Qdrant: chunking, embeddings, hybrid search, and relevance you can measure
Maintain evaluation as a first-class system — golden datasets, automated scoring, regression gates on every change
Develop the assessment scoring/ML pipeline in Python, with results that are explainable to non-engineers
Keep data boundaries structural: sensitive assessment data gets the minimum-necessary treatment, always

What you bring

3+ years of production Python, with 1+ year building LLM-backed features that shipped
Hands-on retrieval/RAG experience — vector stores (Qdrant or similar), embeddings, and the failure modes of both
You treat evaluation as engineering, not vibes: you can describe how you'd catch a quality regression automatically
Comfort with the full API landscape (Claude, GPT, Gemini, open-weights) and choosing empirically
Strong written communication — model behavior gets documented, not remem

📌 Python / LLM EngineerMid-Senior (Jaipur)
🏢 Narix Labs
📍 Jaipur