Description

You will design and optimize a multi-agentic platform that enables natural language querying of data layers to generate diverse chart types.

Responsibilities

• Design and implement agentic workflows using LangChain, CrewAI, Google's Agent Development Kit, and AutoGen.
• Develop Python modules for agent communication, orchestration, and task execution.
• Integrate natural language interfaces with backend data layers for conversational chart generation.
• Conduct prompt engineering and fine-tuning to improve agent intent understanding and response accuracy.
• Optimize agent performance, reliability, and scalability across production use cases.

Required Skills

• 5+ years of experience in software development.
• Advanced proficiency in Python for building scalable, modular AI systems.
• Hands-on experience with LangChain, CrewAI, Google's Agent Development Kit, and AutoGen.
• Experience architecting and deploying agentic solutions in production environments.
• Expertise in prompt engineering for agentic systems.
• Ability to integrate agents with external APIs and services.
• Strong SQL knowledge for interacting with data lakes and data warehouses.

Preferred Skills

• Intermediate to advanced understanding of NLP techniques for intent recognition and query parsing.
• Familiarity with data visualization libraries including Plotly, D3.js, and Matplotlib.

Key Skills

Education

Any Gradute