Job Description

AI Agent Development & LLM Integration
• Build AI agents using frameworks like Lang Graph, Autogen, Crew, or Pydantic AI.
• Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLa MA).
• 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, Web Sockets, 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 Git Hub 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 years of experience working Machine Learning / Artificial Intelligent or r...

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