Role- GCP Cloud Platform Engineer with GenAI exp
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Location- Denver, CO (Hybrid)
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Role Summary
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- Designs and deploys autonomous multi-agent workflows on Google Cloud Platform, utilizing core services like Vertex AI, Cloud Run, and Terraform.
Key Responsibilities
- Agent Architecture: Design multi-agent orchestration, state graphs, and autonomous routing patterns using frameworks like Google’s Agent Development Kit (ADK), LangGraph, CrewAI, Claude code/DeVin
- Cloud Infrastructure: Provision scalable pipelines, serverless microservices, and containerized workloads using GKE, Cloud Run, and BigQuery.
- Operations & LLMOps: Implement Infrastructure as Code (Terraform), CI/CD automation, monitoring, logging, and granular tracking of token metrics/latency.
Requirements & Qualifications
- Core Stack: Advanced Python development, RAG pipelines, vector databases, and Model Context Protocol (MCP), Google ADK, Claude code/Devin
- GCP Experience: 5+ years hands-on cloud architecture, networking (VPC, load balancing), and security/firewall configurations.
- Education: Bachelor’s degree in computer science, Engineering, or equivalent practical experience
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Thanks & Regards
Rahul Pandey