Join our team as a Data & AI Intern and contribute to the development of next-generation AI solutions. This is an unparalleled opportunity to apply your foundational AI knowledge, Python programming skills, and understanding of LLMs to real-world projects. You'll gain hands-on experience with cutting-edge technologies like RAG, LangChain, and vector databases, working alongside experienced engineers to deliver tangible impact.
Develop and deploy robust AI applications using Python and FastAPI.
Design and implement Retrieval-Augmented Generation (RAG) systems and integrate Large Language Models (LLMs).
Apply Prompt Engineering techniques to optimize LLM performance and integrate various LLM APIs.
Contribute to the development of AI Agents and Multi-Agent Systems.
Utilize vector databases and other data stores to manage and retrieve information effectively.
Collaborate with team members to debug, test, and refine AI solutions.
Strong programming proficiency in Python.
Basic understanding of FastAPI and REST API development.
Grasp of Generative AI concepts and Large Language Models (LLMs).
Practical experience with Retrieval-Augmented Generation (RAG).
Familiarity with LangChain and LangGraph.
Knowledge of AI Agents and Multi-Agent Systems.
Experience with Prompt Engineering and LLM integration.
Understanding of Vector Databases (e.g., FAISS, ChromaDB, Pinecone).
Basic proficiency with Git/GitHub for version control.
Proven problem-solving and debugging capabilities.
Prior experience with OpenAI, Gemini, Claude, or other LLM APIs.
Knowledge of MongoDB or PostgreSQL.
Personal or academic projects demonstrating Generative AI applications.
Direct mentorship from experienced AI engineers and data scientists.
Hands-on involvement in impactful AI projects, from concept to deployment.
A dynamic, collaborative environment focused on learning and innovation.
Opportunity to significantly expand your skill set in cutting-edge AI technologies.
Exposure to industry best practices and a clear path for professional growth.