We build AI-first. Our engineers direct AI agents through most of the code they ship, planning with them, reviewing their output, and owning the result. If Claude Code, Cursor, or a similar agentic workflow is not already central to how you work, this role will not be a fit. If it is, you will feel at home on day one.

We are building agentic AI products that own entire workflows, not just answer questions. Ozyn is an AI assistant that executes tasks across Gmail, CRM, Calendar, Sheets and 50+ integrations. Alvoff is a conversational procurement platform with agentic RAG and supplier intelligence serving buyers across 20+ industries.

You will own features end-to-end across Ozyn and Alvoff: talk to users, scope the problem, build it, ship it, and watch how it lands. There are no handoffs between product and engineering here, you are both.

Skills

TypeScript

React

Postgres

AI Agents

Claude Code

Cursor

LLM APIs

RAG

Full-stack

Seniority Level

Intermediate

Employment Type

Full-Time

Industry

Information Technology

Job Function

Software Development,Product Management

Responsibilities

Ship full-stack features with AI agents doing the bulk of implementation under your direction

Talk directly to users and turn ambiguous problems into shipped product, often within days

Set the bar for what AI-first development looks like:



better prompts, better agent workflows, better review practices, and raise it as the tools evolve

Make pragmatic calls on quality, knowing when agent output is positive enough to ship and when it needs your hands on the keyboard

Contribute to product direction, not just implementation: if you think we are building the wrong thing, we want to hear it

Ship to production in your first week, in a small team with high ownership

Skills & Qualifications

Strong software engineering fundamentals, so you can evaluate and correct AI-generated code because you could have written it yourself A genuinely AI-native workflow today, not aspirationally, with opinions about agent orchestration, context management, and where these tools break

Product sense: you have shipped things users loved, or hated, and you learned why

Comfort with ambiguity and speed: you would rather ship a v1 this week than a v3 next quarter

3+ years building production software, or a portfolio that makes years irrelevant

Nice to have: early-stage startup or founder experience, experience building with LLM APIs such as evals, agents and RAG, and public evidence of how you work through repos, posts or tools you built for yourself

Apply

📌 Product Engineer (Bengaluru)
🏢 Tipstat Infotech
📍 Bengaluru