Website:
hiringbazaar.in
Job details:
AI Engineer Intern (LLM, RAG & AI Systems)
Company: Hiring Bazaar
Location: Remote
stipend-5k rs./month
Type: Internship (3–6 Months)
About the Role
Hiring Bazaar is looking for a passionate AI Engineer Intern who wants to work on real-world AI systems and modern web infrastructure. This role is ideal for someone who understands Generative AI, backend APIs, and modern JavaScript frameworks and wants to build scalable AI-powered products.
You will work on LLM-based applications, RAG systems, and AI-powered platforms, while also contributing to backend APIs and system architecture.
Key Responsibilities
Build and integrate AI-powered applications using Large Language Models (LLMs).
Develop Retrieval-Augmented Generation (RAG) pipelines for knowledge-based AI systems.
Build backend services and APIs using Python and Flask.
Work with PyTorch and TensorFlow for model experimentation, training, and deployment.
Develop scalable APIs and services using Express.js and Node.js.
Contribute to frontend or full-stack development using Next.js.
Implement API routing, microservices, and system integrations.
Deploy and manage AI services in Linux environments.
Collaborate with the team to design efficient system architectures for AI products.
Required Skills
Strong programming skills in Python, JavaScript, and TypeScript.
Experience with Next.js, Express.js, and modern web development frameworks.
Understanding of API development and routing.
Familiarity with Large Language Models (LLMs) and Generative AI concepts.
Basic understanding of RAG architectures and embeddings.
Experience with PyTorch or TensorFlow.
Comfortable working in Linux environments.
Understanding of backend architecture and scalable systems.
Good to Have
Experience with Hugging Face Transformers.
Knowledge of LangChain or LlamaIndex.
Experience with vector databases (FAISS, Pinecone, Chroma).
Experience deploying AI models on GPU servers or cloud platforms.
What You Will Gain
Hands-on experience building production-level AI systems.
Exposure to LLMs, RAG pipelines, and modern AI infrastructure.
Opportunity to work on cutting-edge AI products in a startup environment.
How to Apply
Apply through Hiring Bazaar with your resume, GitHub profile, and any AI/ML projects you have worked on.
Click on Apply to know more.