We are looking for a motivated AI Engineering Intern interested in gaining hands-on experience in building agentic and multi-agent AI applications using contemporary LLM technologies.
Key Requirements:
- Good knowledge of Python
- Basic understanding of LLMs and Generative AI
- Familiarity with LangGraph, LangChain, or similar AI frameworks
- Interest in developing AI agents and multi-agent workflows
- Understanding of prompt engineering, RAG, tool/function calling, and APIs
- Ability to integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, or similar
- Basic understanding of databases, REST APIs, and application integration
- Interest in LLM optimization, evaluation, debugging,
performance, and cost optimization
- Strong problem-solving skills and willingness to learn
What You’ll Work On:
- Build and test agentic and multi-agent AI applications
- Integrate LLMs with APIs, databases, and external tools
- Develop workflows using LangGraph and Python
- Experiment with RAG, prompts, tools, memory, and agent orchestration
- Optimize AI applications for accuracy, performance, reliability, and cost
This is a paid, remote 3-month internship for candidates based in India.