Role Overview
We are looking for a highly motivated and passionate GenAI Intern excited to work at the intersection of Artificial Intelligence, Search, Recommendation Systems, and Large Language Models (LLMs). You will work alongside experienced engineers to build production-oriented AI solutions that solve real-world problems in the BeautyTech domain.
Responsibilities
- Develop AI-powered applications using Large Language Models (LLMs)
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines
- Design and implement recommendation systems
- Develop semantic and hybrid search systems
- Build scalable REST APIs using FastAPI
- Develop backend services using Python and asynchronous programming
- Design and interact with MongoDB / NoSQL databases
- Implement Redis-based caching strategies
- Work with vector databases and vector search technologies
- Participate in HLD & LLD / system design discussions
- Build, evaluate, and continuously improve AI applications using quantitative metrics
- Collaborate with engineers to develop production-quality software
Requirements
- Strong problem-solving abilities and curiosity
- Ability to build end-to-end solutions independently
- Strong software engineering fundamentals
- Passion for AI products and experimentation
- Product-oriented thinking and excellent communication skills
- Ability to take ownership and execute quickly
Skills
- Python
- FastAPI
- LLMs
- MongoDB
- GCP
Benefits
- Competitive stipend, above industry standards
- Pre-Placement Offer (PPO) based on internship performance
- Hands-on exposure to production-grade AI systems