Where you'll be doing

Convert business goals into agentic workflows by designing and iterating on conversation flows and logic
Write and test prompts that bring out the best from LLMs in a voice-first context.
Evaluate, debug, and improve voicebot performance using structured test cases and success metrics.
Work closely with engineering, data, sales, and marketing to align voice AI Agent behaviour with real customer use cases.
Build tools, prompt templates, and reusable components to scale development efficiently.
Document strategies and continuously improve based on data insights and user feedback.

Solid understanding of LLMs and prompt engineering — including few-shot, zero-shot, role prompting, and persona shaping.
Comfort with Python and SQL to prototype, automate tests, and analyze conversational data.
Strong written and verbal communication in English and Hindi (you’ll write for real people, not robots).
Ability to analyze business requirements and translate them into smart, human-like conversational agents.

Recent graduate in Computer Science, Data Science, Linguistics, AI, Product Design, or a related field.
Exposure to large language models (LLMs) like ChatGPT, Claude, Gemini, or similar - academic, personal, or internship projects are welcome.
Basic proficiency in Python - able to call APIs, write scripts, or analyze data.
Working knowledge of SQL - able to run queries to explore or report on data.
Passion for AI, voice tech, or conversational UX - you’ve played with bots, experimented with prompts, or imagined how a smart assistant should talk.
0-2 years of experience working in similar roles & projects