DevOps with Agentic AI

Job description

5+ years of IT experience with 3 + years dedicated to building Generative AI applications. Design, build, and maintain complex multi-agent workflows using frameworks like LangGraph or Vertex AI Agent Builder to handle multi-step business logic. Proven experience with core GCP services Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, BigQuery, and Google Cloud Storage. Hands-on mastery of Google Cloud Agent Developer Kit (ADK). Securely connect AI agents to cloud data warehouses and operational databases like BigQuery and AlloyDB using the Model Context Protocol (MCP). Discover, test, customize, and deploy enterprise foundation models (Gemini Flash/Pro/Ultra) and open-source models using Vertex AI. Deploy parameter-efficient fine-tuning (PEFT), prompt pipelines, and few-shot learning strategies to optimize model accuracy, latency, and context window efficiency. Deploy event-driven automations using GCP Cloud Run, Cloud Functions, and Workflows triggered by Pub/Sub events or data mutations. Experience with containerization and orchestration using Docker and Google Kubernetes Engine (GKE) or Cloud Run. Advanced proficiency in Python (async programming, FastAPI, OOP) and SQL.