QA Automation Engineer

• Collaborate with business stakeholders to analyze existing workflows and identify opportunities for intelligent, AI-driven automation
• Oversee the AI agent development lifecycle from design and prototyping through testing, deployment, configuration, and production lifecycle management
• Ensure AI agent security, scalability, and reliability through monitoring and performance tuning
• Design and implement integrations connecting AI agents and models with CRMs, ERPs, and internal databases
• Design and implement evaluation systems for quality control and continuous improvement
• Build and configure AI agents for natural language understanding, data extraction, decision-making, and system interactions
• Develop custom connectors, APIs, and middleware for data exchange and process automation
• Explore and evaluate new AI technologies and tools
• Mentor system administrators and junior developers in building and configuring AI agents

Explore Automation Engineer, Agentic Orchestration at StackAdapt. Review requirements and application details.

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