GenAI on GCP: Gemini Enterprise Engineer

Nelnet

Gering (NE)

Remote

USD 130,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401K
Student loan repayment
Life insurance
AD&D insurance
Employee assistance program
Stock purchase plan
Tuition reimbursement
Performance bonus
Wellness program

Job summary

Nelnet is seeking a Remote GenAI Engineer to lead build and deployment of agentic AI solutions on Google Cloud. You will translate client needs into scalable Gemini-based apps, develop RAG pipelines, and integrate with client systems.

The role demands hands-on coding, model tuning, and architecture oversight to ensure secure, compliant deployments for higher education clients. The position supports a hybrid in-office/remote schedule with a focus on high-quality delivery and collaboration with

Qualifications

  • Hands-on experience building and deploying GenAI/agentic AI solutions in production.
  • Experience with large language models and prompt engineering or fine-tuning.
  • Familiarity with multi-agent orchestration patterns and A2A protocol.
  • Knowledge of cloud data, compute, and IAM concepts for AI workloads.
  • Google Cloud proficiency and related certifications preferred.

Responsibilities

  • Design, build, and deploy agentic assistants and GenAI apps on Gemini Enterprise Platform.
  • Implement RAG pipelines and grounding using platform capabilities.
  • Integrate Agent2Agent and multi-agent orchestration where needed.
  • Build live API integrations with client systems (SIS, ERP, casework).
  • Maintain solution architecture documentation and reusable connectors.
  • Ensure delivery quality, perform code reviews, and gate releases.

Skills

GenAI solutions
Gemini Enterprise Platform
RAG pipelines
Python
Cloud/GCP

Job description

Nelnet is seeking a Remote GenAI Engineer to lead build and deployment of agentic AI solutions on Google Cloud. You will translate client needs into scalable Gemini-based apps, develop RAG pipelines, and integrate with client systems.

The role demands hands-on coding, model tuning, and architecture oversight to ensure secure, compliant deployments for higher education clients. The position supports a hybrid in-office/remote schedule with a focus on high-quality delivery and collaboration with

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