* 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 hallucinations, improving accuracy,
and handling edge cases gracefully.
What Were Looking For * 1-2 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: Previous experience working on a chatbot, voice bot, or AI customer-facing agent product.