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

Generative AI Engineer