GCP Cloud Platform Engineer with GenAI

Full-time

Lorven Technologies Inc

Denver, CO

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.

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Vacancy posted 2 days ago

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