AI Research & Development Intern

Job highlights

• Join our elite AI team as an AI Research Development Intern to help build custom LLMs,integrate agentic workflows,and optimize retrieval-augmented generation (RAG) systems
• Requirements : . Strong programming proficiency in Python and familiarity with PyTorch or TensorFlow

Join our elite AI team as an AI Research Development Intern to help build custom LLMs, integrate agentic workflows, and optimize retrieval-augmented generation (RAG) systems.

Responsibilities :

• Assist in researching, prototyping, and deploying machine learning models and LLM-powered agents.
• Build and evaluate Retrieval-Augmented Generation (RAG) pipelines and vector database indexes.
• Optimize inference speed and prompt templates for autonomous workflows.
• Collaborate on testing, cleaning, and preprocessing datasets for training.

Requirements :

• Strong programming proficiency in Python and familiarity with PyTorch or TensorFlow.
• Basic understanding of LLMs, prompt engineering, and RAG architectures.
• Familiarity with LangChain, LlamaIndex, or OpenAI APIs is a plus.
• Strong mathematical foundations in probability, statistics, and linear algebra.
• Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.