Pepper is the agentic organic growth platform that gets brands recommended and bought across humans and AI agents. Atlas, our engine, is live today: hundreds of agents, deterministic tasks, and monitors run the full organic-growth loop, with ~80% of delivery automated and climbing. ARR is up ~3x in the last year across 150 enterprise customers. This role builds the engine behind that.

The role.

- A senior, hands-on engineer who also leads: you write the hard code and set the technical bar for a small pod.
- Own agent workflows end to end, from data and orchestration to the API and the UI that surfaces them.
- Turn fuzzy LLM capability into reliable, production-grade systems that customers pay for on outcomes.
- Move fast: ship, measure, harden, repeat.

What you will build.

- Agentic workflows on Atlas: multi-step agents, tool use, and orchestration that run hundreds of tasks reliably and cheaply.
- The full stack around them: backend services and data pipelines, APIs, and the product surfaces that expose agent output.
- The reliability layer: evals, monitors, and guardrails so agents stay accurate and protected without a human checking every output.




- The judgment calls on where LLMs belong versus deterministic code, and how to keep latency and cost in check at scale.
- New automation that moves more of the delivery loop from humans to agents.

Who you are.

- 6+ years building production software, with real full-stack range (backend-heavy, comfortable across the stack).
- Has shipped LLM or agentic features to production, not demos: RAG, tool-calling agents, orchestration, or similar.
- Strong systems and data fundamentals; writes clean, well-tested code and raises the bar for others.
- Has led a small team or project technically, through design, review, and delivery.
- Pragmatic about AI: knows when to use a model and when not to, and how to make non-deterministic systems reliable.
- Thrives in a fast, high-ownership environment and wants to build the category-defining platform.

Nice to have.

- Experience with eval and observability tooling for LLM systems.
- SEO, GEO, MarTech, or other domain-heavy B2B product experience.
- Early-stage or 0 to 1 background.

📌 Tech Lead, AI Engineering (Mumbai)
🏢 Pepper
📍 Mumbai