CGP / Gemini Enterprise Engineer

$130,000–$150,000annualizedUSRemoteToday

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About the job

Build and deploy production GenAI and agentic AI solutions on Google Cloud’s Gemini Enterprise Agent Platform for higher education and SLED clients.

Summary written from the posting.

What you’ll do

Build and deploy agentic assistants and GenAI applications on Gemini Enterprise Agent Platform
Implement RAG pipelines, grounding, multi-agent orchestration, and A2A integrations
Select, tune, monitor, and evaluate foundation models against accuracy, safety, cost, and performance requirements
Build API and tool-calling integrations with SIS, ERP, and casework systems

What you’ll bring

Production experience building and deploying GenAI or agentic AI solutions, including LLM assistants, RAG pipelines, or multi-agent orchestration
Experience with LLMs, prompt engineering, fine-tuning, or grounding techniques
Experience building RAG pipelines and integrating LLM solutions with enterprise data sources
Production-quality software engineering skills in Python and/or relevant SDKs

Technologies

Google Cloud · Gemini Enterprise Agent Platform · Vertex AI · Agent Builder · Workspace Studio · Model Garden · Agent2Agent (A2A) · BigQuery · Cloud Run · GKE

Pay and conditions

Posted pay: $130,000–$150,000Annualized in US dollars
Location: US
Work arrangement: Remote

The work, as we read it

Kind of work: Builds what the customer runs

Our reading of the posting, not the employer’s words.

How this compares

The middle of this range is $140,000, below the $196,000 median for the 1,766 US FDE postings that state one. Half of those sit between $162,000 and $230,000.

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