Designation: AI/ML Engineer

Location: Bengaluru(In-office)

About Organisation:

We are a multi-tenant operations platform an operating system for industries that run on customers, partner networks, and field operations. Six services live in production. Anchor customer is live; pre/early-revenue.

TypeScript across the application services, gRPC between them, Post- greSQL with Row-Level Security for multi-tenant isolation. Python on the data and ML layer — FastAPI + SQLAlchemy + Alembic. Anthropic Claude and OpenAI APIs, pgvec-

tor for embeddings, the canonical agent SDKs. Claude Code, Cursor, and Copilot everyday — and we expect the AI/ML engineer to set the bar for how the rest of the team use them.

What you’d own

The Python data and ML layer end-to-end. Pipelines from Postgres for analytics and training. RAG over tenant documents. Agentic workflows. Embeddings retrieval. AI features that run in production with real data — not notebooks, not demos. You integrate back into the platform over gRPC.

What we look for

- Hands-on LLM API experience — production integration, not just calls

- RAG, vector databases, embeddings — and when each works vs. fails

- Solid Python — Postgres extraction, pipelines, ML training.

• Agent framework experience — LangChain, CrewAI, Claude Agent SDK,



or equivalent.

- Production AI mindset — evaluation, monitoring, failure modes.

- Comfortable in TypeScript to integrate AI features over gRPCSignal.

- You’ve shipped an AI feature that runs in production, handles real data, and has measurable outcomes.

- You can describe a specific time the AI behaved unexpectedly and what you did about it — not “added a check” but designed a safeguard that holds across edge cases.
- You’ve used Claude Code, Cursor, or Copilot in a real codebase and can describe how you manage their output.

- You write clearly about technical decisions Self-selection — read these honestly before applying

- In-person, default in-office. Not remote-first.

- No level ladder. No Senior / Mid / Junior. We pay you what you’re worth, not for a title.

- Ambiguity is the job. Early-stage data is incomplete and inconsistent. You work with what exists.

- You’ll iterate. Multiple approaches before one works. That’s the job, not an obstacle.

What we offer

Comp as published — no negotiation games. Unlimited PTO. Health insurance for you and immediate family. Claude Code, Cursor, and GitHub Copilot subscriptions, fully covered. Learning and development budget.

📌 AI/ML Engineer (India)
🏢 Nexifyr Consulting
📍 India