Agentic AI Engineer

AI Agent Development & LLM Integration

• Build AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.

• Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA).

• Develop modular, reusable components for agent orchestration and task automation.

Model Deployment & Infrastructure

• Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.

• Implement APIs, WebSockets, and event-driven architectures for real-time AI services.

• Collaborate with platform teams to ensure scalable and secure deployments.

Development & Automation

• Work with CI/CD pipelines using Jenkins to automate testing and deployment.

• Use GitHub Copilot, Windsurf, Codeium, or similar tools to accelerate development.

• Maintain high code quality and documentation standards using Git, Jira, and Confluence

Must-Have Skills:

• 3–5 y...