Job Description
About The Role
nWe're hiring an AI Engineer to own the AI layer of a subscription SaaS product in the financial space a retrieval-based assistant, the safety layer that keeps it honest, and the analytics engine behind it.
nThe product is live with paying users. This is product engineering, not research. The work is making AI output correct, cheap, fast, and reproducible valuable retrieval, tight safety controls, deterministic maths, and evidence that a change actually improved things.
nThe stack is Python microservices on FastAPI, with PostgreSQL, Docker, and AWS.
nWe are an AI-first engineering team Claude Code, Codex and Cursor are part of how we ship, not an experiment on the side.
nYou'll work on a small team, take a feature from a spec conversation to production yourself, and talk directly to client-side engineers while doing it. We need someone who reads an existing codebase, takes ownership, and drives decisions not someone who waits for the next instruction.
nWhat You'll Work On
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- Retrieval quality end to end query classification,



chunking and embedding strategy, vector search, context managementn
- Content ingestion pipelines that are durable and observable, so a document failing halfway is visible and recoverablen
- Evaluation harnesses and regression sets, so every prompt and model change is measured rather than judged by eyen
- Tracing and observability for the AI layer knowing what a model was asked, what it answered, and what it costn
- Safety and moderation keeping the assistant on-topic and unable to expose what it shouldn'tn
- Handling personal and sensitive data correctly before it ever reaches a modeln
- Keeping LLMs out of arithmetic anything numeric or auditable runs as deterministic code, and the model narrates the result rather than computing itn
- Model routing and cost control picking the cheapest model that still passes evals, and proving it didn
- Integrating third-party data APIs that feed the AI and anal

📌 AI Engineer: Python (Dwarka)
🏢 BNCW Enterprises
📍 Dwarka