Job Title: AI Engineering Intern
Location: Onsite (HQ: Jhandewalan, New Delhi)
Company:
Experience: 0-1 Year
Type: 6-month internship, (with potential for full-time conversion)
Stipend: Upto ?30,000/month
About Us
LiaPlus AI is the leading Voice AI company purpose-built for Banks and Insurance enterprises. Our AI voice agents automate conversations across inbound support, collections, renewals, KYC, and more, with enterprise-grade precision in 18+ languages (English, Hindi, Arabic, Spanish, Afrikaans, etc.).
Unlike generic AI tools, we specialize in high-stakes financial workflows where accuracy, speed, and compliance are critical. Our platform integrates deeply with core banking systems and CRMs, enabling real-time, scalable automation.
Trusted by enterprises in the Middle East, Africa, and India, our clients experience:
60-70% reduction in call center costs
90% first-call resolution rate
50% faster go-live vs traditional IVRs or AI providers
CSAT uplift within 3 months
Role Overview
We are seeking a curious, disciplined, and technically strong AI Engineering Intern to support LiaPlus AI's product engineering initiatives. This role involves hands-on coding, model experimentation, feature testing, and technical documentation under the guidance of senior engineers. You will work on real-world applications of Python, AI/ML fundamentals, and integration workflows that power enterprise-grade Voice AI solutions. This internship is designed to sharpen your technical problem-solving skills while contributing to meaningful product outcomes.
Key Responsibilities
Engineering Support: Assist in developing, testing, and debugging AI-driven product features.
Prototyping & Experiments: Build and refine small-scale prototypes to validate AI/ML use cases.
Code Contributions: Write clean, efficient Python code to support ongoing development cycles.
Integration Assistance: Support API integrations, cloud services, and third-party system connections.
Documentation: Maintain technical notes, feature records, and testing logs to ensure transparency.
Collaboration: Work closely with the Tech Manager and engineering team on sprint deliverables.
Research: Stay updated on emerging AI tools, frameworks, and methodologies relevant to the product roadmap.
Requirements
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