Job Type: Full-time

About The RoleWe’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.The product is live with paying users. This is product engineering, not research. The work is making AI output correct, cheap, fast, and reproducible good retrieval, tight safety controls, deterministic maths, and evidence that a change actually improved things.The stack is Python microservices on FastAPI, with PostgreSQL, Docker, and AWS.We arean AI-first engineering team Claude Code, Codex and Cursor are part of how we ship , not an experiment on the side.You’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.What You’ll Work OnRetrieval quality end to end query classification, chunking and embedding strategy, vector search, context managementContent ingestion pipelines that are durable and observable, so a document failing halfway is visible and recoverableEvaluation harnesses and regression sets, so every prompt and model change is measured rather than judged by eyeTracing and observability for the AI layer knowing what a model was asked, what it answered,



and what it costSafety and moderation keeping the assistant on-topic and unable to expose what it shouldn’tHandling personal and sensitive data correctly before it ever reaches a modelKeeping LLMs out of arithmetic anything numeric or auditable runs as deterministic code, and the model narrates the result rather than computing itModel routing and cost control picking the cheapest model that still passes evals, and proving it didIntegrating third-party data APIs that feed the AI and analytics layersShipping into FastAPI services on AWS with database migrations, structured logging, and tests that run in CIRequirements4–6 years of professional Python backend experience, FastAPI strongly preferredProduction experience with LLM APIs shipped to real users, not notebooks or tutorialsBuilt RAG systems in production embeddings, chunking, vector databases, retrieval evaluationYou already build with AI coding tools every day Claude Code, Codex, Cursor or similar. This is how our whole team works, so we expect you to arrive fluent in them, not learn them hereYou can prove a prompt or model change made things better evals, benchmarks, before-and-after numbers. Experience with LLM tracing and observability tooling transfers directlyJudgement about whennotto use an LLM.



Anything numeric or auditable belongs in deterministic codeSolid PostgreSQL schema design, migrations, query optimisationAsync Python you can defend retries, timeouts, and sane failure handling around every external callYou write tests for AI code too, and you instrument what you shipComfortable with Docker and AWSStrong English, written and spoken. You will be in direct contact with international clients and their engineering teamsYou give and take code review without friction, and you raise blockers in writing early instead of going quietComfortable owning a codebase you didn’t write and improving it without hand-holdingPreferredWorkflow orchestration engines for long-running or multi-step pipelinesMCP servers, custom agents, or your own AI tooling built on top of Claude Code or CursorFintech or financial data productsPII, compliance, or data-governance workFine-tuning, distillation, or smaller-model routing to cut inference costWebSocket or real-time systems experienceWorked with international teams across time zonesWorking With UsWe believe valuable work doesn’t require burning people out. We respect boundaries, trust the people we hire, and don’t chase anyone after hours. What we do expect is ownership when something is yours, you care about it. Decisions live in tickets and PR descriptions, not in one person’s head.Job Type:Full-time, PermanentWork Location:Next to NSUT, Dwarka, Delhi – 110059How to ApplyPlease send your resume and relevant work samples to ✉️ [email protected]

📌 AI Engineer: Python / FastAPI / RAG (Mumbai)
🏢 BNCW Enterprises
📍 Mumbai