What We're Building

It is an AI product agent that understands your product first, then designs for it. It ingests your app, your Figma, your docs, and builds a persistent memory of how your product works. Product thinking first. Design execution second.

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How We Work

We're a small team. You'll have more ownership than most engineers get across an entire career.

• Understand it deeply. Talk to users before writing code.
• Build it. Stay current, move fast, don't be reckless.
• Ship it. A feature nobody uses isn't a feature.
• No layers of process. Idea to production the same week.

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Your Job in One Line

Own the AI layer. Make it fast, cheap, high-quality and hard to replicate.

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What You'll Do

• Own the AI layer end-to-end.
• Build the product context engine. This is the hard problem.
• Optimize cost, latency, and quality.
• Improve how AI interacts with users.
• Stay ahead of what's shipping. Pull it in before others do.

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What You Need to Know

• AI agents in production. Shipped to real users. LangGraph/LangChain, orchestration, tool calling, evals.
• Context & retrieval. RAG that works at production quality. Prompt engineering as architecture.
• Cost & performance. Caching, routing, model selection, token management. Engineering, not guesswork.
• Python. Deep. FastAPI, async, clean at scale.
• Staying current. You follow what's shipping. You've picked up something early and it paid off.

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What Matters More Than Your Resume

• You've built an AI system end-to-end and can walk through every trade-off you made.
• You think about AI UX. Output quality means nothing if the interaction is clunky or slow.
• You treat cost/latency/quality as an engineering problem, not an inevitable compromise.
• You can explain complex AI decisions to designers and PMs clearly.
• You operate with ownership. You don't wait to be told what to explore next.

This isn't a "fine-tune and hand off" role. You own the intelligence layer of the product.

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Role Basics

Experience: 4+ years of building and shipping.

Location: Bangalore, HSR Layout. Work from the office, 5 days a week.

Reporting line: Reports to the CTO.

Notice period: Candidates who can join within 30 days.

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Interview Process

1. Application review. We go through every CV personally.
2. Technical rounds with the CTO and team.
3. Assignment round (if applicable).

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How We Review

• Consistent track record. Trajectory over titles.
• A clear spike. One thing you're unusually good at that transfers to what we're building.
• Relevance. LLMs in production, context-heavy products, RAG at quality.
• Been challenged? Founding roles, high-growth teams, messy fast environments.

The goal is simple: we want to feel curious enough after reading your application to get on a call with you.

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4+ years of actually shipping things that mattered. Deeply curious. Builds what others are still reading about.

We'd love to meet you.