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About the role
What You'll Do Design and build conversational flows for chat and voice agents that feel natural, not scriptedImprove voice quality and naturalness of AI voice agents (TTS tuning, SSML, pronunciation handling for mixed-language conversations)Build and refine intent detection, lead scoring signals, and conversation intelligence featuresIntegrate LLMs with external tools and systems (CRM, ticketing, calendar, ecommerce platforms) via agentic tool-callingContinuously test, evaluate, and improve agent responses using real conversation dataCollaborate closely with product and engineering to ship features from prototype to productionOwn quality and reliability of AI outputs reducing hallucination, improving accuracy, and handling edge cases gracefully What We're Looking For 26 years of experience building AI/ML or LLM-based applications, with specific hands-on exposure to conversational AI and/or voice AI systemsStrong Python skills and comfort working directly with LLM APIsA builder's mindset comfortable moving from research/prototyping to production-ready systemsExperience debugging and improving live conversational systems (not just building demos)Bonus: has previously worked on a chatbot, voice bot, or AI customer-facing agent product What You'll Do Design and build conversational flows for chat and voice agents that feel natural, not scriptedImprove voice quality and naturalness of AI voice agents (TTS tuning, SSML, pronunciation handling for mixed-language conversations)Build and refine intent detection, lead scoring signals, and conversation intelligence featuresIntegrate LLMs with external tools and systems (CRM, ticketing, calendar, ecommerce platforms) via agentic tool-callingContinuously test, evaluate, and improve agent responses using real conversation dataCollaborate closely with product and engineering to ship features from prototype to productionOwn quality and reliability of AI outputs reducing hallucination, improving accuracy, and handling edge cases gracefully What We're Looking For 26 years of experience building AI/ML or LLM-based applications, with specific hands-on exposure to conversational AI and/or voice AI systemsStrong Python skills and comfort working directly with LLM APIsA builder's mindset comfortable moving from research/prototyping to production-ready systemsExperience debugging and improving live conversational systems (not just building demos)Bonus: has previously worked on a chatbot, voice bot, or AI customer-facing agent product
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