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About the role
Job Description What You'll Do - Design and build conversational flows for chat and voice agents that feel natural, not scripted - Improve 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 features - Integrate LLMs with external tools and systems (CRM, ticketing, calendar, ecommerce platforms) via agentic tool-calling - Continuously test, evaluate, and improve agent responses using real conversation data - Collaborate closely with product and engineering to ship features from prototype to production - Own 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 systems - Robust Python skills and comfort working directly with LLM APIs - A builder's mindset comfortable moving from research/prototyping to production-ready systems - Experience 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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