Job Description
Job Title : AI Engineering Intern
Location : Onsite (HQ : Jhandewalan, New Delhi)
Company : LiaPlus AI
Experience : 0–1 Year
Type : 6-month internship, (with potential for full-time conversion)
Stipend : Upto ₹30,000 / month
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
Benefits
Work 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 like Ferns & Petals, Monte Carlo, MeitY (Government of India).
Rapid Learning : Work with top engineers
Career Growth : Full ownership and fast progression
Requirements
Education : 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.
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