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