Cloud development, Agentic AI

Key Responsibilities:

• Architect and create cloud-native applications utilizing AWS, Azure, or GCP services
• Develop and implement Agentic AI solutions that utilize LLMs, AI agents, and orchestration frameworks
• Design and integrate REST APIs, microservices, and AI-driven workflows
• Establish CI/CD pipelines for automated building, testing, and deployment activities
• Deploy and oversee applications using Docker, Kubernetes, and Infrastructure as Code (IaC)
• Incorporate AI services such as OpenAI, Azure OpenAI, LangChain, LangGraph, CrewAI, or comparable frameworks
• Evaluate application performance, reliability, and security across cloud platforms
• Work in collaboration with product engineering and data teams to provide AI-enhanced business solutions
• Ensure compliance with security governance and best practices in cloud environments
• Produce technical documentation and assist with production deployment support

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