AI Engineering Intern

About UsAt LiaPlus AI, we're transforming how enterprises manage customer support with our AI Employees that sounds human, speaks any language, and works 24/7. We're trusted by industry leaders in Banking, Insurance & E-Commerce and we're scaling fast to meet growing demand. We work hard and take pride in our commitment to deliver the best products on the market. With a strong pipeline of enterprise clients and ambitious goals, we're moving fast to execute and deliver results.Job DescriptionJob Title:AI Engineering InternLocation:Onsite (HQ: Jhandewalan, New Delhi)Company:LiaPlus AIExperience:0–1 YearType: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 costs90% first-call resolution rate50% faster go-live vs traditional IVRs or AI providersCSAT 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.RequirementsEducation: Pursuing or recently completed B.Tech/B.E. in Computer Science, IT, AI/ML, or related field.Core Skills: Strong command of Python; familiarity with data structures, APIs, and debugging.AI/ML Basics: Understanding of machine learning workflows, NLP concepts, or speech technologies is a plus.Tools Exposure: Knowledge of Git, cloud platforms (AWS/GCP/Azure), or AI libraries (Hugging Face).Documentation: Ability to maintain structured notes and code-level documentation.Mindset: Analytical, detail-oriented, and eager to learn in a startup environment.Work Ethic: Proactive, dependable, and collaborative with a problem-solving attitude.Good-to-have: Hands-on in Pipe-cat.BenefitsWork on real AI products with full ownership from Day 1. LiaPlus AI is a high-growth startup building cutting-edge voice automation using speech technology, LLMs, and real-time systems. We're backed by marquee investors and trusted by 100+ clients likeFerns & Petals, Monte Carlo, MeitY (Government of India).****Real Impact: Your code goes live, no bureaucracyRapid Learning: Work with top engineersCareer Growth: Full ownership and fast progressioncheck(event) ; career-website-detail-template-2 => ,meta)" mousedown="lyte-button => check(event)" final- final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">