Kapturecrm

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.

About Kapturecrm

Kapture CX is a leading SaaS platform that helps enterprises automate and elevate customer experience through intelligent, AI-powered solutions. We partner with enterprises across industries to bring scalable automation and insight-driven efficiencies to their CX operations.

Requirements & Eligibility

• An engineering background (or equivalent hands-on technical grounding) - comfortable reading code, working with APIs, and understanding data flows.
• 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, even at a project or hobby level.
• Strong problem-solving and debugging instincts, and clear written communication.

Key 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, then proposing fixes.
• Build and run QA / evaluation frameworks to measure and improve conversation quality against defined parameters.
• Support client rollouts - preparing test cases, validating flows before go-live, and helping resolve issues during and after launch.
• Document configurations, findings, and best practices to help the team scale delivery across accounts.