Live opening · Posted 5 days ago

AI Engineer Intern – Conversational AI & Voice AI | ActivPaisa

ActivPaisa · Bengaluru, Karnataka, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyActivPaisa
LocationBengaluru, Karnataka, India (Hybrid)
Work modeHybrid
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

Company: ActivPaisa
Role: AI Engineer Intern
Location: Remote / Delhi NCR / Bangalore
Experience: 0–1 Year / Freshers Welcome
Type: Full-Time Internship
Stipend: ₹15,000–₹25,000/month
Opportunity: Potential Full-Time Conversion
About ActivPaisa
ActivPaisa is building a technology-driven digital lending and loan distribution platform focused on helping customers discover, qualify for and apply for Personal Loans.
Our vision is to use technology and AI to automate the customer journey — from lead qualification and customer engagement to loan application, document collection, follow-ups and application tracking.
We are building an AI-enabled lending platform where customers can interact with ActivPaisa through:
AI Voice
WhatsApp
Instagram
Website
Mobile App
We are looking for an AI Engineer Intern who wants to work on real-world Conversational AI, Voice AI, LLMs and Agentic AI rather than only prototypes or academic projects.
What You Will Work On
You will work closely with the Founder, Product and Engineering team to build ActivPaisa's AI and Conversational Intelligence layer.
🤖 Conversational AI
Build and test LLM-powered conversational workflows.
Design prompts and structured LLM outputs.
Build intent detection and entity extraction.
Develop conversation memory and context management.
Improve Hindi/Hinglish conversational quality.
Build AI objection-handling flows.
Evaluate AI responses for accuracy, relevance and safety.
Build AI workflows for Personal Loan customer conversations.
🎙️ Voice AI
Work with our voice stack:
Dograh + Vobiz + Deepgram + Groq + Rumik
You will help build workflows such as:
Customer
↓
Vobiz
↓
Dograh
↓
Deepgram — Speech to Text
↓
ActivPaisa AI Brain
↓
Groq — LLM
↓
Rumik — Text to Speech
↓
Dograh
↓
Customer
You will work on:
Speech-to-text integration
LLM response generation
Text-to-speech workflows
Voice-agent conversation flows
Real-time API integration
Call event handling
Conversation state
Latency optimization
AI/API cost optimization
💬 WhatsApp & Instagram AI
Help build AI automation across customer communication channels.
You will work on:
WhatsApp AI conversations
Instagram DM automation
Personal Loan lead qualification
Customer information collection
Application follow-ups
Document collection workflows
Application-status communication
Customer re-engagement
Cross-channel conversation context
Example:
Website / Instagram
↓
Initial Qualification
↓
WhatsApp
↓
Detailed Qualification
↓
CRM
↓
Loan Application
↓
AI Follow-up
↓
Application Processing
The objective is to create a connected customer journey where customers don't have to repeatedly provide the same information.
🧠 ActivPaisa AI Layer
A major part of your work will be integrating AI with ActivPaisa's CRM, loan application and customer-engagement systems.
You will work around:
Customer Context
Lead Qualification
Customer Intent
Lead Scoring
Application Status
Conversation State
Next-Best-Action
Follow-Up Strategy
AI Analytics
Customer Re-engagement
Important principle
The LLM is not the final business decision-maker.
ActivPaisa's business rules, application systems and authorized processes control the actual loan journey.
For example:
Customer says:
"Meri salary 60,000 hai aur mujhe 8 lakh ka loan chahiye."
↓
LLM
↓
Extract structured information
{
"income": 60000,
"loan_amount": 800000
}
↓
ActivPaisa
↓
Qualification / Business Rules
↓
CRM
↓
Next Customer Action
Your job is to help make this AI pipeline reliable, structured and production-ready.
🔧 Technology You'll Work WithCore
Python
REST APIs
JSON
Git/GitHub
SQL
API integration
AI / LLM
Groq / LLM APIs
Prompt Engineering
Structured Outputs
Function Calling / Tool Calling
LLM evaluation
RAG fundamentals
AI Agents
Voice AI
Deepgram
Dograh
Rumik
Vobiz
Speech-to-Text
Text-to-Speech
WebSockets / real-time communication
Backend
FastAPI / similar Python framework
PostgreSQL
Redis
Webhooks
REST APIs
Infrastructure
AWS basics
Docker basics
Logging & monitoring
What We Are Looking ForMust Have
Strong Python fundamentals
Good understanding of APIs
Basic understanding of LLMs / Generative AI
Comfortable working with JSON
Git/GitHub knowledge
Strong problem-solving ability
Willingness to learn quickly
Ability to build and debug independently
Good to Have
FastAPI
LangChain / LangGraph
RAG
Function Calling
WebSockets
Speech AI
Voice Agents
Open-source LLMs
Docker
PostgreSQL / Redis
WhatsApp / Meta APIs
Who Should Apply?
This role is ideal for someone who says:
"I don't just want to learn AI. I want to build AI products."
We welcome:
Final-year students
Recent graduates
B.Tech / BCA / MCA / equivalent
Self-taught developers with strong projects
Candidates with 0–1 year experience
Degree is less important than your ability to build.
If you have built a:
AI chatbot
Voice bot
RAG application
AI agent
WhatsApp bot
LLM application
Speech-to-text application
Automation workflow
Personal AI assistant
show us your project.
What You Will Learn
During the internship, you will get hands-on exposure to:
Production LLM integration
Conversational AI
Voice AI
AI Agents
Speech-to-text
Text-to-speech
Real-time AI systems
WhatsApp AI automation
Instagram AI automation
Fintech AI
Loan customer engagement
API architecture
AI evaluation
AI cost optimization
AI latency optimization
Building scalable AI products
Your Responsibilities
Build AI prototypes and convert them into production workflows.
Integrate AI APIs.
Develop and test prompts.
Build structured AI outputs.
Test voice conversations.
Analyse AI failures.
Improve conversation quality.
Create evaluation datasets.
Debug API and AI integration issues.
Work with Product and Engineering teams.
Document AI workflows.
Continuously experiment with better models and techniques.
Performance Expectations
We are looking for someone who can gradually move from:
Learning → Experimenting → Building → Owning
During the internship, you should be able to independently own small AI modules such as:
Intent Classification
Customer Information Extraction
Personal Loan Qualification Flow
Objection Handling
Voice Agent Flow
WhatsApp AI Workflow
AI Follow-up Workflow
AI Evaluation Dashboard
Why Join ActivPaisa?
🚀 Work on a real fintech product at an early stage.
🧠 Get hands-on experience with LLMs, Conversational AI and Voice AI.
💡 Your work can become part of real customer-facing product workflows.
🔥 Work closely with the Founder, Product and Engineering team.
🚀 High ownership and fast learning environment.
📈 Opportunity for full-time conversion based on performance.
Selection ProcessRound 1
Resume + GitHub/Portfolio Review
Round 2
Technical / AI Discussion
Round 3
Practical AI Assignment
Round 4
Founder / Product Discussion
How to Apply
Send:
1. Resume
2. GitHub / Portfolio
3. One AI project you're most proud of
4. A short answer:
"What would you build if you had to create an AI voice agent that could qualify a Personal Loan customer for ActivPaisa?"
📩 Apply via LinkedIn / DM
Email : anwar@activpaisa.com

Work arrangement
Hybrid

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