Agentic AI Engineer

Job Description What you ll build

• 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.

Who you are

• You build things nobody asked you to build. Your GitHub, demos, or shipped products speak louder than your r sum .
• 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.

Must-haves

• 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.

Nice to have

• eCommerce stack exposure (Magento, Shopify, Hydrogen).
• RAG, evals, and agent/prompt observability.
• Full-stack / front-end for internal tooling.
• Open-source contributions, hackathon wins, or a build-in-public presence.

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