QA Automation Engineer

• Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools
• Build AI agents that automate customer service, operations, sales, reporting, and internal business processes
• Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications
• Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data
• Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks
• Develop AI-powered assistants, chatbots, and internal copilots for business users
• Build automated reporting, monitoring, and business intelligence workflows
• Conduct workflow discovery sessions and identify automation opportunities across departments
• Create technical documentation, architecture diagrams, and deployment guidelines
• Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability
• Collaborate with designers, strategists, and developers to deliver AI-powered business solutions

AI Automation Engineer

• Cross-Functional AI Deployment: Collaborate with Sales, Marketing, and Operations to identify manual processes that can be enhanced by AI (e.g., lead enrichment, sentiment analysis, or automated reporting).
• Workflow Automation: Design and manage complex automated workflows using Zapier,
• Make, or Power Automate to connect disparate tools with AI engines (OpenAI, Anthropic, etc.).
• CRM Enhancement: Implement AI-driven features within Dynamics 365 for Sales to improve data hygiene and sales team productivity.
• Custom Prompt Engineering: Develop and refine high-quality prompts and "GPT" style agents tailored to specific departmental needs.
• Tool Evaluation: Research and pilot emerging AI tools to determine their feasibility and ROI for our specific business use cases.

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AI Automation Engineer

AI Automation Engineer