Key Responsibilities:

• Use and fine-tune Generative AI models for real-world applications.
• Identify and create datasets to build a domain specific knowledge base
• Work on Prompt Engineering and create advanced Retrieval-Augmented Generation (RAG) systems.
• Build and optimize scalable REST APIs using Python.
• Utilize frameworks like LangGraph for complex AI workflows.
• Collaborate on implementing knowledge graphs and Agentic frameworks such as LangGraph.
• Contribute to backend development using Django or FastAPI (optional but preferred).

What We're Looking For:

• Required Skills:
  • Strong foundation in Data Science and Generative AI concepts and technologies.
  • Knowledge in data crawling / scraping, cleaning and processing to build a dataset
  • Experience with Prompt Engineering, LangGraph, and Python.
  • Knowledge of RAG (Retrieval-Augmented Generation) systems.
  • Hands-on experience building and consuming REST APIs.
  • Good foundation of Relational database concepts and SQL queries.
• Nice to Have:
  • Solid understanding of classic Machine Learning techniques.
  • Experience with Agentic AI, context engineering, Agentic memory management.
  • Familiarity of knowledge graphs.
  • Proficiency in Django or FastAPI for backend development.
  • Knowledge on search (ElasticSearch) and recommendation systems
• Education Qualification:
  • Current student or recent graduate in Software Engineering, Data Science, or related disciplines.

What You'll Gain:

• Work on an impactful project with real-world applications.
• Learn and apply cutting-edge Generative AI and software engineering techniques.
• Collaborate with a dynamic team of innovators and mentors.
• Enhance your portfolio with practical experience in emerging technologies.