Vacancy description
HyrMe
Bangalore, भारत
Key Responsibilities :- Design, write, and optimize system prompts for AI-powered conversational and voice agents.- Analyze real user interactions to identify conversation failures and improve response quality.- Create end-to-end conversation flows and user journeys for new AI deployments.- Support customer onboarding by configuring AI agents based on business requirements.- Build and maintain a library of reusable prompts, templates, and conversational best practices.- Conduct extensive testing and red-team exercises to identify edge cases and improve agent reliability.- Test AI interactions across English, Hindi, Hinglish, and other regional languages.- Collaborate with Product and Engineering teams by providing insights from customer interactions to drive product improvements.- Continuously evaluate AI performance and recommend enhancements for accuracy, consistency, and user https://jobeax.com/link/98SwTxlVlLi9SjFj Skills :- Hands-on experience working with Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, or similar AI models.- Strong prompt engineering skills with experience building AI-driven workflows or solutions.- Excellent command of written English and exceptional attention to language, tone, and clarity.- Ability to think from both business and end-user perspectives while designing conversational experiences.- Strong analytical and problem-solving skills with a data-driven mindset.- Comfortable working in fast-paced, ambiguous, and startup environments.- Excellent verbal and written communication skills.- Proficiency in Hindi or other Indian regional languages is an added https://jobeax.com/link/CwAnicXE2mcWYDdM Skills :- Experience with Conversational AI or Voice AI platforms.- Exposure to chatbot development, workflow automation, or no-code AI tools.- Understanding of LLM concepts such as prompting strategies, context management, hallucinations, temperature, retrieval, and reasoning.- Experience in customer success, implementation, consulting, support, or solution engineering.- Basic understanding of NLP, conversational design, and AI evaluation methodologies. (ref:hirist.tech)