About the Role
Lead AI agent optimization as an AI Performance Optimization Manager. Focus on improving customer outcomes by enhancing deployed AI's capabilities and functionalities.
This role is crucial for ensuring that AI agents operate effectively in hiring processes. You will work with customers to define success metrics, monitor performance, and iterate on workflows. Your engineering and debugging skills will be key in resolving issues and enhancing overall satisfaction.
Key Responsibilities:
• Define and monitor success benchmarks with clients
• Identify and address performance gaps in AI agents
• Iterate on workflows and tuning agent behavior
• Debug integration and system issues
• Convert real-world use cases into actionable insights
Requirements:
• Technical competence with coding abilities
• Expertise in prompt engineering and agent systems
• Familiarity with AI tools and their operational use
• Proven experience in enterprise AI implementations
• Str...
This role is crucial for ensuring that AI agents operate effectively in hiring processes. You will work with customers to define success metrics, monitor performance, and iterate on workflows. Your engineering and debugging skills will be key in resolving issues and enhancing overall satisfaction.
Key Responsibilities:
• Define and monitor success benchmarks with clients
• Identify and address performance gaps in AI agents
• Iterate on workflows and tuning agent behavior
• Debug integration and system issues
• Convert real-world use cases into actionable insights
Requirements:
• Technical competence with coding abilities
• Expertise in prompt engineering and agent systems
• Familiarity with AI tools and their operational use
• Proven experience in enterprise AI implementations
• Str...
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