Description

You will design, develop, and deploy Agentic AI applications and multi-agent systems using LangGraph, LangChain, and Large Language Models (LLMs).

This role is on-site.

Responsibilities

• Build and optimize prompt engineering workflows across AI models such as GPT, Claude, and LLaMA to improve performance, reliability, and cost efficiency.
• Develop REST APIs, WebSocket services, and event-driven pipelines to support scalable, real-time AI applications.
• Deploy and maintain AI solutions on enterprise cloud platforms while ensuring security, scalability, and adherence to best practices.
• Implement CI/CD processes using Jenkins, Git, and related tools to automate testing, deployment, and release management.
• Collaborate with platform, security, and product teams to integrate data sources and deliver high-quality AI-driven business solutions.

Required Skills

• 5+ years of experience in Artificial Intelligence, Machine Learning, or a related field.
• Hands-on experience building Agentic AI applications using LangGraph and LangChain.
• Proficiency in Python and prompt engineering techniques.
• Experience with Large Language Models (LLMs) including GPT, Claude, and LLaMA.
• Experience developing and deploying AI applications on enterprise cloud platforms.
• Strong knowledge of REST APIs and scalable AI system architectures.
• Practical experience with CI/CD pipelines, Jenkins, and Git.

Preferred Skills

• Bachelor’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field.

Key Skills

Education

Any Graduate