Description

Job Responsibilities include:

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

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, support AI operations, and deliver high-quality AI-driven business solutions.

Required Qualifications:

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

3–5 years of experience in Artificial Intelligence, Machine Learning, or a related field, including experience delivering production AI solutions.

Hands-on experience building Agentic AI applications using LangGraph, LangChain, Python, LLMs, and prompt engineering techniques.

Experience developing and deploying AI applications on enterprise cloud platforms, with knowledge of REST APIs, CI/CD pipelines, and scalable AI system architectures

Key Skills

Education

Any Graduate