Artificial Intelligence Engineer

1 week ago


Thane, India Productist.AI Full time

About the Role We are seeking a highly specialized and results-driven AI Automation Engineer to join our fast-moving team. You will be the architect of our internal and client-facing workflows, leveraging a powerful stack of no-code/low-code tools and custom code to eliminate manual work, integrate core business systems, and implement intelligent AI agents. This is a high-impact role for an expert who can not only build but also design highly reliable, scalable, and complex automated systems. What You'll Be Building (Key Responsibilities) - End-to-End Workflow Architecture: Design, build, and maintain complex automation pipelines, primarily using n8n (and sometimes Zapier) for optimal performance and customizability. - Intelligent AI Integration: Integrate and orchestrate AI models (LLMs) within workflows for tasks such as lead qualification, dynamic email generation, data analysis, and decision support. - Custom Scripting & APIS: Utilize Python to write custom API connectors, perform advanced data cleaning/transformation, and extend the functionality of no-code platforms. - CRM & Data System Mastery: Implement robust data synchronizations between core tools, including deep automation and setup within GoHighLevel (GHL) for marketing and sales, and structured data management in Airtable. - System Reliability: Implement rigorous error handling, logging, and monitoring across all automation to ensure 99.9% uptime and data integrity. - Process Mapping: Collaborate with stakeholders to map existing business processes and identify high-leverage opportunities for AI-powered automation. Must-Have Technical Stack If you do not have expert-level experience in all five of these, please do not apply. 1. n8n (Expert Level): Core platform for complex workflow orchestration. 2. Python: For advanced scripting, custom API calls, and data manipulation. 3. GoHighLevel (GHL): Setting up funnels, triggers, campaigns, and lead flow automation. 4. Airtable: Advanced base design, automation, scripting, and external tool integration. 5. Zapier: Experience with building and migrating workflows, and managing Zapier integration logic.



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