Description

You will build and implement generative AI use cases using advanced retrieval and prompting techniques.

Responsibilities

• Develop GenAI applications using the LangChain stack and LlamaIndex.
• Implement information retrieval systems for custom documents including PDFs, HTML, and databases.
• Execute RAG, CRAG, and RAG Fusion architectures to improve retrieval accuracy.
• Train and fine-tune Large Language Models (LLMs) for specific tasks.

Required Skills

• 8+ years of total professional experience.
• 2+ years of hands-on experience with Generative AI.
• Proficiency in Python with a focus on Machine Learning and Data Science.
• Experience with the LangChain stack: LangChain, LangSmith, and LangServe.
• Experience with LlamaIndex.
• Knowledge of RAG, CRAG, and RAG Fusion.
• Expertise in prompt engineering (Zero Shot, Few Shot, Tree/Chain of Thought).
• Proficiency with Git and GitHub.
• Degree in any graduate field.

Preferred Skills

• Experience with Chainlit.
• Background working in the Security domain.

Key Skills

Education

Any Graduate