GCP Cloud Platform Engineer with GenAI
Full-time
Lorven Technologies Inc
Job Title: GCP Cloud Platform Engineer with GenAI
Location: Denver, CO - Hybrid
Qualifications & Experience:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field.
- Minimum 5+ years of hands-on experience with Google Cloud Platform (GCP) and cloud architecture.
- Strong experience developing GenAI/Agentic AI solutions and autonomous multi-agent workflows on GCP.
- Advanced Python development experience for building scalable AI applications, services, and automation workflows.
- Hands-on experience with Google Vertex AI and Google Agent Development Kit (ADK).
- Experience designing multi-agent architectures, state graphs, autonomous routing, and agent orchestration using frameworks such as LangGraph and CrewAI.
- Experience with Claude Code, Devin, or similar AI coding/agent platforms.
- Strong experience building RAG (Retrieval-Augmented Generation) pipelines, LLM-powered applications, embeddings, and vector databases.
- Hands-on understanding of Model Context Protocol (MCP) and integrating MCP-based workflows with AI agents.
- Experience designing and deploying scalable, containerized, and serverless workloads using GKE, Cloud Run, and BigQuery.
- Strong experience with Terraform / Infrastructure as Code (IaC) for provisioning and managing cloud infrastructure.
- Experience developing and optimizing CI/CD pipelines, DevOps automation, monitoring, logging, and observability for cloud and AI workloads.
- Strong understanding of GCP networking, including VPC, load balancing, security, IAM, and firewall configurations.
- Experience implementing LLMOps practices, including token usage tracking, latency monitoring, model/application performance, and production observability.
- Strong understanding of cloud security, scalability, reliability, and performance optimization for GenAI and cloud-native applications.
- Experience troubleshooting production issues, analyzing application/cloud performance, and implementing effective resolutions.
- Experience working in Agile/Scrum development environments and collaborating with cross-functional engineering and AI teams.
- Strong understanding of responsible AI practices, including security, scalability, performance, monitoring, and governance of GenAI solutions.
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.
Vacancy posted 5 days ago
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