AI Engineer Intern

Role overview

Eligibility and qualifications

• Bachelor’s or master’s degree, or currently pursuing a degree, in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Essential skills

• Strong programming knowledge in Python; understanding of REST APIs and FastAPI.
• Basic understanding of AI/ML concepts and LLM architecture and applications.
• Knowledge of RAG and hands-on project experience with one or more of AI agents, RAG, agentic RAG, or LLM-based applications.
• Good problem-solving and analytical skills.

Key responsibilities

• Develop and integrate AI/ML applications using Python; build REST APIs and FastAPI for AI-powered applications.
• Work on RAG pipelines and LLM-based solutions; assist with AI agents and agentic RAG systems.
• Integrate LLMs with applications, APIs, databases, and external tools; work with LLM architecture and workflows.
• Experiment with prompt engineering, embeddings, vector databases, retrieval, and response generation.
• Develop, test, debug, and optimize AI solutions; collaborate on prototypes and applications.
• Stay updated on generative AI, LLMs, agents, and RAG technologies.

What the internship offers

• Exposure to real-world data science problems and modern data tools and platforms.
• Mentorship from experienced professionals and a flexible work environment.
• Potential path to full-time employment based on performance.

Pay

• ₹5,000–₹10,000 per month.

Work location

• In person.