Description

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

Responsibilities

• Automate workflows, build smart forms, and develop data extraction tools using ML and LLMs.
• Develop generative AI and RAG systems, designing agents leveraging LangChain and Graph RAG.
• Build embedding-based search platforms utilizing vector databases like Chroma or Weaviate.
• Prototype solutions using open-source LLMs and APIs (OpenAI, Cohere, Anthropic, Gemini, Copilot).
• Implement hands-on chatbot, intelligent document processing, and agent-assist tools.

Required Skills

• 2+ years of hands-on experience applying AI to real-world technology solutions.
• Expertise in Machine Learning and Deep Learning using Python, R, Java, TensorFlow, and PyTorch.
• Proficiency in Natural Language Processing (NLP) and fundamental ML algorithms.
• Experience with data preprocessing and feature engineering.
• Familiarity with object-oriented and functional design principles.
• Proficiency with version control systems, specifically Git.
• Experience integrating basic UI elements with front-end frameworks.

Key Skills

Education

Any Graduate