Senior Agentic AI Engineer

Job Description

Multi-agent development pipelines that pick up a task, write and review code, spin up preview deployments, capture results, and hand back to humans for approval (we have a live POC — you’ll harden and extend it).
Agents that plug into our commerce stack — Magento, Shopify, Node.js services — to automate merchandising, QA, content, and ops.
AI-driven marketing automation across paid, SEO, and lifecycle.
The orchestration and observability that makes agents run reliably at scale — queues, workers, retries, evals, monitoring.

You build things nobody asked you to build. Your GitHub, demos, or shipped products speak louder than your résumé.
You get obsessed with hard problems and don’t put them down until they work.
You operate with extreme ownership — you take a vague goal and return a working system.
You ship, measure, and iterate fast. You treat shipping as a craft.
You were already building with LLMs and agents before anyone made you — because you wanted to.
You want to build the thing, not just talk about it.

Strong, current coding ability in Python and/or Node.js / TypeScript.
Hands-on experience building with LLM APIs (Claude, OpenAI, etc.) and agent orchestration (LangGraph, CrewAI, AutoGen, MCP, or hand-rolled).
At least one real, demonstrable agentic/LLM project you can show and walk through (link required).
Production deployment experience (Vercel, Railway, AWS, or similar) — not just notebooks.
Comfort with the glue: APIs, webhooks, queues, vector DBs, auth.
Strong written and spoken English.
Willing to travel to our Ahmedabad office periodically (flights + stay covered) to build closely with the core team.