AI Marketing Automation Engineer (Agentic Workflows)

We run six production agentic workflows across client accounts and are scaling to dozens. You will design, build and operate autonomous marketing systems — lead enrichment and routing, ad-creative iteration, technical-SEO patrol, reporting assembly — with proper approval gates, logging and cost controls. This is a hands-on engineering role at the frontier of marketing operations.

• Design and build agentic workflows on n8n/Make/custom Node.js with OpenAI, Anthropic and Gemini APIs
• Integrate CRMs (HubSpot, Zoho), ad platforms, GA4 and Search Console APIs into automation pipelines
• Implement human-approval gates, budget caps, action logs and rollback paths for every autonomous system
• Monitor workflow quality and LLM costs; tune prompts and models for reliability
• Document systems so account teams can operate them independently
• Prototype new agent use-cases quarterly and present ROI analysis

• 2–5 years in automation engineering, backend development or marketing-ops engineering
• Production experience with LLM APIs (OpenAI/Anthropic/Gemini) including prompt design and cost management
• Strong JavaScript or Python; comfort with REST APIs and webhooks
• Experience with n8n, Make, Zapier or equivalent orchestration platforms
• Rigorous approach to logging, error handling and safe autonomy

• Experience with RAG pipelines or vector databases
• Marketing-domain knowledge (ads platforms, CRM objects, attribution)
• Open-source contributions or a portfolio of shipped automations

• Competitive salary: ₹8–14 LPA based on experience
• 100% remote work with flexible hours
• Support for LLM/API experimentation and tooling relevant to the role
• Statutory benefits and paid leave according to company policy
• Support for relevant courses, certifications and professional development
• Growth path to Automation Practice Lead

1. Application review — we reply within 2–3 working days.
2. Intro call — 30 minutes about you, the role and expectations.
3. Practical assignment — short, role-relevant, never free client work.
4. Team interview — meet your future lead.
5. Offer — typically 2–3 weeks end to end.