Source description
About the role
What Youll 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 toolcalling 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 Were Looking For 26 years of experience building AI/ML or LLMbased applications, with specific handson exposure to conversational AI and/or voice AI systems Strong Python skills and comfort working directly with LLM APIs A builders mindset comfortable moving from research/prototyping to productionready systems Experience debugging and improving live conversational systems (not just building demos) Bonus: has previously worked on a chatbot, voice bot, or AI customerfacing agent product What Youll 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 toolcalling 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 Were Looking For 26 years of experience building AI/ML or LLMbased applications, with specific handson exposure to conversational AI and/or voice AI systems Strong Python skills and comfort working directly with LLM APIs A builders mindset comfortable moving from research/prototyping to productionready systems Experience debugging and improving live conversational systems (not just building demos) Bonus: has previously worked on a chatbot, voice bot, or AI customerfacing agent product
More at Xcelore