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AI Automation Engineer
Location
India
Posted
2 days ago
Salary
₹1,200K - ₹4,500K / year
Seniority
Senior
Job Description
AI Automation Engineer
Weekday (YC W21)
• Analyze and document existing business workflows across operations, sales, HR, customer support, and other functions. • Identify automation opportunities by evaluating process complexity, frequency, and business impact. • Develop and prioritize automation roadmaps focused on efficiency, scalability, and business value. • Design, build, test, and maintain automated workflows using platforms such as n8n, Zapier, Make, or similar no-code/low-code tools. • Integrate business systems including CRM platforms, databases, communication tools, and internal applications. • Implement automated notifications, approvals, routing mechanisms, and operational workflows. • Connect multiple business platforms through APIs, webhooks, and automation frameworks. • Ensure seamless data synchronization and process orchestration across systems. • Design and deploy AI-powered agents using platforms such as OpenAI, Claude, and other large language model technologies. • Collaborate directly with clients to understand operational challenges and business objectives. • Create comprehensive process documentation, workflow diagrams, and implementation guides. • Establish best practices and reusable frameworks for future automation initiatives.
Job Requirements
- 3–5 years of hands-on experience building automation workflows using no-code/low-code platforms such as n8n, Zapier, Make, or similar tools.
- Experience developing AI agents, AI workflows, or intelligent automation solutions using OpenAI, Claude, or comparable platforms.
- Strong understanding of workflow design, process optimization, and operational efficiency.
- Experience integrating multiple business systems and applications.
- Proven ability to design rule-based workflows, scoring models, and decision automation frameworks.
- Strong stakeholder management and communication skills.
- Portfolio showcasing automation, AI agent, or workflow implementation projects.
- Familiarity with APIs, webhooks, JSON, and basic scripting.
- Experience with data enrichment and intelligence platforms.
- Background in Revenue Operations (RevOps), Sales Operations (SalesOps), Business Operations, or Process Improvement.
- Experience working with CRM systems, marketing automation platforms, and business intelligence tools.
- Exposure to AI-powered productivity tools and enterprise automation ecosystems.
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