Description

You will build and optimize AI solutions for internal tools, smart automation, and generative AI systems.

Responsibilities

• Apply AI and machine learning to solve real-world technology problems.
• Develop generative AI and Retrieval Augmented Generation (RAG) systems.
• Design agents using LangChain and Graph RAG architectures.
• Build embedding-based search platforms utilizing vector databases.
• Prototype solutions using open-source LLMs and external APIs.

Required Skills

• 3-5 years of professional experience with a minimum of 2 years hands-on AI/ML/DL experience.
• Expertise in Python, TensorFlow, PyTorch, and NLP.
• Experience with ML model evaluation, data preprocessing, and feature engineering.
• Proficiency in version control using Git.
• Familiarity with LangChain and Graph RAG concepts.
• Experience building chatbots and intelligent document processing tools.
• Knowledge of object-oriented and functional design principles.

Key Skills

Education

Any Graduate