Description

Lead AI Engineer responsible for designing, developing, and deploying Agentic AI applications and multi-agent systems.

This role is on-site.

Responsibilities

• Build and optimize prompt engineering workflows for LLMs like GPT, Claude, and LLaMA to ensure performance, reliability, and cost efficiency.
• Develop REST APIs, WebSocket services, and event-driven pipelines to support scalable, real-time AI applications.
• Implement CI/CD processes using Jenkins and Git to automate testing, deployment, and release management.
• Deploy and maintain AI solutions on enterprise cloud platforms, ensuring security, scalability, and adherence to best practices.
• 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.
• Strong proficiency in Python and Large Language Models (LLMs).
• Experience with prompt engineering techniques to improve model performance.
• Ability to design and deploy AI applications on enterprise cloud platforms.
• Proficiency in developing REST APIs and WebSocket services.
• Experience with CI/CD pipelines and tools like Jenkins and Git.
• Understanding of scalable AI system architectures.

Preferred Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field.
• Experience delivering production-grade AI solutions in an enterprise environment.

Key Skills

Education

Any Graduate