Cloud development, Agentic AI

Key Responsibilities:

• Design and develop applications that are cloud-native utilizing AWS, Azure, or GCP services.
• Create and deploy Agentic AI solutions that leverage large language models (LLMs), AI agents, and orchestration frameworks.
• Develop and integrate RESTful APIs, microservices, and AI-driven workflows.
• Implement continuous integration and continuous deployment (CI/CD) pipelines for automated building, testing, and deployment.
• Deploy and manage applications using Docker, Kubernetes, and Infrastructure as Code (IaC) practices.
• Integrate AI services such as OpenAI, Azure OpenAI, LangChain, LangGraph, CrewAI, or similar frameworks.
• Monitor the performance, reliability, and security of applications across cloud environments.
• Work collaboratively with product engineering and data teams to provide AI-driven business solutions.
• Ensure compliance with security governance and cloud best practices.
• Create and maintain technical documentation and assist with production deployments.

Technical Requirements:

• Technology: AI, Agentic AI, Agent Engineering, Technology Cloud Platform, Cloud Platform - ALL

Preferred Skills:

Technology->AI-Agentic AI->Agent Engineering, Technology->Cloud Platform->Cloud Platform - ALL