Remote GenAI Engineer: Gemini on GCP Platform

Nelnet

Burleson (TX)

Hybrid

USD 130,000 - 150,000

Full time

7 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
HSA & FSA
401(k)
Tuition reimbursement
Wellness program

Job summary

Nelnet is seeking a GenAI Platform Engineer to own the technical build and deployment of Gemini-based agentic solutions on Google Cloud. You will translate backlog items into working agents, RAG pipelines, and model integrations for higher education and SLED clients.

You will collaborate with Data and AgentOps engineers to ensure data readiness, deployment readiness, and production-quality delivery. This role supports hybrid work with in-office and remote arrangements.

Qualifications

  • Hands-on experience building and deploying GenAI/agentic AI solutions in production.
  • Experience with Gemini Enterprise Agent Platform or its predecessor Vertex AI preferred.
  • Familiarity with RAG pipelines and grounding techniques.

Responsibilities

  • Design, build, and deploy agentic assistants and GenAI applications.
  • Implement RAG pipelines and grounding using built-in capabilities.
  • Integrate cross-agent orchestration patterns where engagements require them.
  • Build live API and tool-calling integrations to enable real-time actions in client systems.
  • Maintain documentation of solution architecture and integrations.

Skills

GenAI solutions
RAG pipelines
Multi-agent orchestration
Prompt engineering
Google Cloud / Gemini
Python / SDKs
Model evaluation & testing

Tools

Gemini Enterprise Agent Platform
Vertex AI
Workspace Studio
Model Garden
A2A protocol

Job description

Nelnet is seeking a GenAI Platform Engineer to own the technical build and deployment of Gemini-based agentic solutions on Google Cloud. You will translate backlog items into working agents, RAG pipelines, and model integrations for higher education and SLED clients.

You will collaborate with Data and AgentOps engineers to ensure data readiness, deployment readiness, and production-quality delivery. This role supports hybrid work with in-office and remote arrangements.

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