Kapture CX Off Campus Drive: AI Delivery Intern Role in Bangalore

If you are a fresher or someone with up to one year of hands-on experience in computer science and artificial intelligence, here is a fantastic internship opportunity. Kapture CX, a leading global enterprise SaaS company, is actively hiring an AI Delivery Intern for their core technology team in Bangalore. This role is perfect for fresh graduates who want to step into the fast-paced world of Generative AI, Large Language Models (LLMs), and Voicebot technology.

In this detailed guide, we have broken down everything you need to know about this role, including eligibility criteria, technical skill requirements, daily responsibilities, interview preparation tips, and step-by-step instructions on how to apply.

Job Overview

About Kapture CX

Kapture CX is an enterprise-grade Customer Experience (CX) management platform that relies heavily on automation, artificial intelligence, and tailored workflows to simplify customer support operations. The company helps big brand names connect better with their end users across multiple channels, including chat, voice, email, and social media.

Currently, over 1,000 top enterprise accounts across 18 countries trust Kapture CX. Some of their flagship clients include Unilever, Reliance, Coca-Cola, Bigbasket, Meesho, Airtel Payments Bank, and Cathay Pacific. Headquartered in Bangalore, Kapture CX has established offices across Mumbai, Delhi/NCR, as well as international locations like the USA, UAE, Singapore, Philippines, and Indonesia.

Detailed Job Description & Responsibilities

As an AI Delivery Intern, you will be directly involved in building, testing, and deploying real voicebots and chatbots for enterprise clients. Instead of working purely on theoretical models, your day-to-day focus will be turning client requirements into actual, working conversational agents that handle thousands of client interactions live in production.

Here is a detailed look at what your practical workload will include:

• Prompt Design & Optimization: Crafting, testing, and refining prompts for LLM-powered bots. You will design multi-turn conversation logic, setup tool-calling rules, and implement guardrails so bots do not hallucinate or give wrong answers.
• Voice AI Pipeline Tuning: Configuring and fine-tuning the full speech pipeline, which spans Speech-to-Text (STT / ASR), Large Language Models (LLMs), and Text-to-Speech (TTS). You will evaluate latencies, accuracy, and voice naturalness to ensure real-time human-like voice conversations.
• Debugging & Root Cause Analysis: Analyzing raw conversation logs to figure out why a bot misbehaved, failed to capture intent, or got stuck in a loop. You will track root causes and fix prompt or flow issues directly.
• QA Framework Building: Running quality assurance and evaluation benchmarks to track accuracy and performance improvements over time.
• Client Launch Support: Preparing scenario test cases, validating conversation paths before go-live, and resolving bugs right around launch deadlines.
• Documentation: Writing clear process notes, bot setup steps, and best practices to make team workflows scalable across multiple accounts.

Eligibility Criteria

To apply for this internship, candidates should meet the following baseline educational and technical requirements:

• Educational Qualification: B.E., B.Tech, M.Tech, MCA, or M.Sc / B.Sc in Computer Science, Information Technology, AI/ML, or related technical streams.
• Batch Eligibility: Recent graduates from 2023, 2024, or final-year students passing out in 2025 who are available for immediate full-time work.
• Experience Required: Freshers with strong project work or candidates with up to 1 year of hands-on technical experience.
• Work Setup: Willingness to work 5 days a week from Kapture CX's Bangalore office. Remote or hybrid options are not available for this role.

Required Technical Skills & Key Competencies

Recruiters at Kapture CX are looking for candidates who possess a strong technical mindset along with practical exposure to modern AI developer toolkits:

• Core Programming & APIs: Practical knowledge of Python, along with solid comfort in reading code, working with JSON structures, and consuming REST APIs.
• LLM & Prompt Engineering Exposure: Hands-on experience playing with OpenAI GPT, Anthropic Claude, Google Gemini, or open-source models (Llama). Understanding system prompts, context limits, and tool-calling mechanics.
• Speech Technologies: Basic knowledge of how STT (Automatic Speech Recognition) and TTS (Text-to-Speech) modules function, and what parameters impact transcript quality and voice latency.
• Debugging Mindset: Ability to dive straight into log files, search for API error codes, trace failures, and fix broken conversation flows.
• Bonus Skills (Good to Have): Experience with telephony frameworks, Indian regional language NLP, agentic AI frameworks (LangChain, AutoGen, LlamaIndex), or automated QA for AI models.

Selection Process

The hiring workflow at Kapture CX usually involves the following evaluation rounds:

1. Resume Shortlisting: Screening applications based on project work related to Python, REST APIs, LLM APIs, prompt engineering, or chatbot development.
2. Technical Assessment / Assignment: A practical task involving prompt engineering, API parsing, or diagnosing a chatbot configuration issue.
3. Technical Interview Round: Discussion focusing on your Python fundamentals, project execution, basic voice stack knowledge (STT, LLM, TTS), and real-time problem-solving scenarios.
4. HR / Cultural Fitment Round: Discussion on communication skills, willingness to work in-office in Bangalore, ownership attitude, and long-term goals.

How to Prepare for This AI Internship Interview

Here are a few actionable suggestions to stand out during the selection process:

• Build a Small Project: Create a basic voicebot using Python, OpenAI API / Whisper (STT), and ElevenLabs or gTTS (TTS). Feature this project prominently at the top of your resume.
• Brush Up on REST APIs & JSON: Be prepared to write simple Python code that makes HTTP POST calls, sends JSON payloads, and handles error codes.
• Understand Speech Tech Bottlenecks: Read up on real-time latency challenges in voice AI, such as audio sampling rates, STT word error rates (WER), streaming TTS, and token limits.

How to Apply for Kapture CX Internship

Interested candidates can apply directly through the official Kapture CX careers portal hosted on Keka. Follow these simple steps:

1. Click on the official application link provided below.
2. Read through the detailed job description on the target page.
3. Click on the 'Apply for this job' button.
4. Fill in your contact details, upload your updated resume highlighting relevant AI and Python projects, and submit your application.