AI/ML Engineer

We are seeking highly motivated AI/ML Interns with a keen interest in the evolving landscape of Agentic AI, LLMs, and tool-augmented reasoning. The intern will work with our AI team to explore and implement solutions involving LLM orchestration, multi-agent systems, and AI integration into real-world workflows.

• Assist in designing and building ML models and AI-driven solutions.
  
• Work with LLM tools such as LangChain, CrewAI, OpenAI SDK, and other orchestration frameworks.
  
• Learn and contribute to the development of autonomous agents and tool-using AI.
  
• Implement vector storage solutions using Pinecone, FAISS, ChromaDB, etc.
  
• Build APIs and microservices using FastAPI for AI-driven backends.
  
• Stay updated with the latest AI research, market trends, and open-source innovations.
  
• Collaborate with the team on prompt engineering, fine-tuning, and embedding strategies.
  
• Write clean, well-documented, and modular code.

Requirements

Must Have

• Strong understanding of Python and ML libraries (Pandas, NumPy, Scikit-learn, etc.)
  
• Knowledge of machine learning fundamentals (classification, clustering, etc.)
  
• Awareness of current trends in LLMs and generative AI (ChatGPT, GPT-4, Claude, etc.)
  
• Enthusiasm to explore tools like LangChain, OpenAI SDK, vector databases, etc.
  
• Basic familiarity with REST APIs, JSON, and FastAPI or Flask.

Benefits

• Hands-on with LangChain, CrewAI, AutoGen, or other multi-agent frameworks.
  
• Worked on vector stores like FAISS, Pinecone, or Weaviate.
  
• Understanding of RAG (Retrieval-Augmented Generation).
  
• Experience in building chatbots or tools using OpenAI API or Anthropic SDKs.
  
• Exposure Git, and basic deployment techniques.