Role Overview
We are looking for a passionate AI Engineer Intern to join our engineering team and contribute to the development of next-generation AI-powered applications. This role is ideal for candidates who are excited about Generative AI, Large Language Models (LLMs), AI agents, and building intelligent software solutions. As an AI Engineer Intern, you will gain hands-on experience with modern AI technologies, collaborate with experienced engineers, and help build scalable AI-driven applications.
Responsibilities
- Design, develop, and integrate AI-powered features into software applications.
- Build applications using Large Language Models (LLMs) and Generative AI technologies.
- Develop AI workflows using prompt engineering and Retrieval-Augmented Generation (RAG) techniques.
- Integrate AI models through APIs and open-source frameworks.
- Develop and optimize AI pipelines for production environments.
- Work with structured and unstructured data to support AI applications.
- Evaluate, test, and improve the quality and performance of AI solutions.
- Research and experiment with emerging AI models, frameworks, and tools.
- Collaborate with engineering and product teams to translate business requirements into AI solutions.
- Write clean, maintainable, and well-documented code while following software engineering best practices.
Requirements
- Pursuing or recently completed B.Tech, B.E., BCA, MCA, M.Tech, or an equivalent degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
- Strong programming skills in Python.
- Good understanding of Data Structures and Algorithms.
- Familiarity with SQL and REST APIs.
- Experience with Git and version control.
- Good understanding of Large Language Models (LLMs) and Generative AI concepts.
- Familiarity with Prompt Engineering and Retrieval-Augmented Generation (RAG).
- Understanding of AI agents and workflow orchestration concepts.
- Knowledge of embeddings and vector search fundamentals.
- Strong analytical and problem-solving skills.
Skills
- Python
- LangChain
- LLMs
- RAG
- Vector Databases
Benefits
- Opportunity to work on modern AI technologies and real-world AI applications.
- Mentorship from experienced engineers.
- Exposure to the latest AI frameworks, tools, and best practices.
- Hands-on experience in developing production-ready AI solutions.
- Collaborative and innovation-driven work environment.
- Potential opportunity for a full-time role based on performance.