Role Overview
As an AI Delivery Intern, you will support the end-to-end delivery of AI voicebots and chatbots for enterprise clients. You will work directly alongside the AI Delivery team on prompt engineering, conversation design, and the speech and language pipeline (STT → LLM → TTS) that powers our bots — turning client requirements into live, production-grade conversational experiences.
Responsibilities
- Write, test, and iterate prompts for LLM-powered voicebots and chatbots — designing conversation flows, tool-calling logic, and guardrails for real client use cases.
- Design and refine conversation experiences across multi-turn, multi-intent, and multilingual scenarios.
- Configure and tune the speech pipeline — evaluating and optimizing Speech-to-Text (STT), Text-to-Speech (TTS), and LLM components for accuracy, latency, and naturalness.
- Perform log-based root cause analysis — inspecting conversation logs, tracing errors, and identifying why a bot behaved unexpectedly.
- Build and run QA / evaluation frameworks to measure and improve conversation quality.
- Support client rollouts — preparing test cases, validating flows before go-live, and helping resolve issues.
- Document configurations, findings, and best practices.
Requirements
- An engineering background or equivalent hands-on technical grounding.
- Working knowledge of Python and comfort with JSON, REST APIs, and system integrations.
- Exposure to prompt engineering and Large Language Models (GPT, Claude, Gemini, or similar).
- A basic understanding of speech technologies — STT (ASR) and TTS.
- Familiarity with chatbots / voicebots or conversational AI.
- Strong problem-solving and debugging instincts.
Skills
- Python
- Large Language Models
- Prompt Engineering
- REST APIs
- Speech-to-Text (STT)