Generative AI Engineer

Key Responsibilities

• Design, develop, and maintain scalable Python-based applications and automation workflows
• Build and implement AI/LLM-powered agents and orchestration frameworks
• Implement MCP (Model Context Protocol) for agent communication, coordination, monitoring, and observability
• Develop and manage data pipelines supporting AI, analytics, and enterprise reporting use cases
• Work with structured and unstructured datasets across SQL and NoSQL platforms
• Deploy, monitor, and optimize applications in cloud environments such as Azure, GCP, or AWS
• Build cloud-native solutions leveraging managed services, storage, and compute platforms
• Collaborate with product managers, architects, data teams, and business stakeholders
• Ensure application performance, scalability, security, and maintainability
• Contribute to CI/CD automation, infrastructure provisioning, and DevOps best practices
• Create technical documentation and support operational excellence initiatives