Description

You will design and build AI-powered systems using Python, focusing on prompt engineering and agentic workflows.

This role is hybrid.

Responsibilities

• Design and implement multi-agent workflows using LangGraph or similar node/edge interaction models.
• Develop and optimize LLM-based workflows by restructuring and enhancing prompts using few-shot learning.
• Build and integrate RESTful and Flask APIs with frontend components using React JS.
• Apply classical machine learning concepts to select and build models for practical applications.
• Develop core logic utilizing Python structures, NumPy, and Pandas for data manipulation.

Required Skills

• 5+ years of professional experience in software development.
• Strong proficiency in Python, including array, list, and Pandas data frame manipulation.
• Hands-on experience with LangChain and LangGraph for LLM agent creation.
• Practical experience developing REST API and Flask API services.
• Ability to integrate backend services with React JS.
• Proven capability in prompt engineering, including prompt optimization techniques.
• Solid understanding of supervised and unsupervised machine learning algorithms.
• Experience designing basic algorithms using data structures.

Key Skills

Education

Any Graduate