We are looking for an AI Automation & Integration Engineer to design, build, and maintain smart business automations that improve efficiency, reduce manual work, and connect our systems end-to-end.This role is ideal for someone who has hands-on experience building real automations in n8n, understands integrations deeply, and can combine AI, APIs, webhooks, and business logic into reliable workflows.This is not a theory role. We are looking for someone who has actually built and deployed n8n automations in production. Design, build, test, and maintain automation workflows using n8n Integrate business tools, internal systems, and third-party platforms through APIs, webhooks, and connectors Build AI-powered workflows using LLMs and related tools for tasks such as content generation, classification, research, routing, data extraction, and decision support Develop automations for CRM, lead management, notifications, approvals, reporting, customer operations, and internal productivity.Write and maintain custom logic using Java Script / Type Script when low-code steps are not enough Handle data mapping, transformation, validation, and synchronization across systems.Monitor workflow performance, troubleshoot errors, and improve reliability Document automations clearly so they are maintainable and scalable Collaborate remotely with stakeholders to understand business processes and convert them into practical automation solutions.Recommend the best architecture, tools, and workflow design standards to get maximum value from n8n. Demonstrated experience in Automation Engineering and building automated systems.Proven ability to act as a Workflow Architect, optimizing complex processes.Strong background in implementing Business Process AI solutions.Expert-level skills in Python programming.Solid understanding and practical application of Machine Learning and Deep Learning algorithms.Proficiency in Data Science techniques and methodologies.Strong capabilities in System Design and architectural planning.Experience with Project Management principles and practices.Fundamental understanding of Data Structures and algorithms.A minimum of 2-3 years of proven, hands-on experience in AI engineering, automation development, or related IT/Software Development roles.Demonstrated success in delivering tangible results through AI and automation projects.