Gemini GenAI Enterprise Engineer

Nelnet

Trenton (NJ)

Remote

USD 130,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401K matching
Tuition reimbursement
Wellness program

Job summary

Nelnet seeks a highly skilled GenAI Engineer to own the technical build and deployment of agentic AI solutions on Google Cloud, focusing on the Gemini Enterprise Agent Platform. You will translate backlog items into working, production-ready AI agents and integrations with client systems.

The role emphasizes RAG pipelines, model grounding, and multi-agent orchestration, collaborating with Data and AgentOps engineers to ensure secure, scalable delivery. Remote-friendly with hybrid options.

Qualifications

  • Hands-on experience building GenAI/agentic AI solutions in production.
  • Experience with LLMs, prompting, and grounding techniques.
  • Familiarity with A2A protocol and multi-agent orchestration patterns.

Responsibilities

  • Design, build, and deploy agentic assistants and GenAI apps on the Gemini Enterprise Platform.
  • Implement RAG pipelines and grounding using platform capabilities.
  • Integrate A2A and multi-agent orchestration where engagements require them.
  • Build live API and tool-calling integrations to enable real-time actions in client systems.
  • Maintain solution architecture docs and reusable playbooks.

Skills

GenAI engineering
LLM prompting
A2A protocol
Multi-agent orchestration
Python
Cloud data services
BigQuery
GKE / container platforms
IAM
Gemini Enterprise

Tools

Gemini Enterprise Platform
Vertex AI
Python SDKs
Model Garden
Workspace Studio

Job description

Nelnet seeks a highly skilled GenAI Engineer to own the technical build and deployment of agentic AI solutions on Google Cloud, focusing on the Gemini Enterprise Agent Platform. You will translate backlog items into working, production-ready AI agents and integrations with client systems.

The role emphasizes RAG pipelines, model grounding, and multi-agent orchestration, collaborating with Data and AgentOps engineers to ensure secure, scalable delivery. Remote-friendly with hybrid options.

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