Remote GenAI Engineer: GCP & Gemini Enterprise

Nelnet; Imperial (NE); Remote; USD 130,000 - 150,000; Full time

Job summary

Nelnet is seeking a highly skilled GenAI Engineer to lead the design, build, and deployment of agentic AI solutions on the Gemini Enterprise Platform. You will implement RAG pipelines, model integration, and multi-agent orchestration for higher education and SLED clients, collaborating with Data and AgentOps teams to ensure delivery quality.

The role emphasizes production-grade integrations, platform-native tooling, and compliance with FERPA and security requirements.

Qualifications

• Hands-on experience building and deploying GenAI/agentic AI solutions in production.
• Direct experience with the Gemini Enterprise Agent Platform or Vertex AI preferred; strong ramp potential on Google's stack.
• Experience with LLMs, prompting, fine-tuning or grounding techniques.
• Familiarity with A2A protocol and multi-agent orchestration patterns.
• Cloud data, compute, and access-control services to support AI workloads.
• Google Cloud certification is a plus.

Responsibilities

• Design, build, and deploy agentic assistants and GenAI applications on the Gemini Enterprise Agent Platform.
• Implement RAG pipelines and grounding using the platform's capabilities.
• Build live API and tool-calling integrations for real-time client actions.
• Maintain solution architecture documentation and reusable connectors.
• Lead delivery quality and release readiness with cross-functional teams.

Skills

GenAI solutions

LLM prompts

RAG pipelines

Multi-agent orchestration

Python

Google Cloud

Gemini Enterprise Platform

Tools

Gemini Enterprise Agent Platform

Vertex AI

BigQuery

GKE

IAM

Job description

Nelnet is seeking a highly skilled GenAI Engineer to lead the design, build, and deployment of agentic AI solutions on the Gemini Enterprise Platform. You will implement RAG pipelines, model integration, and multi-agent orchestration for higher education and SLED clients, collaborating with Data and AgentOps teams to ensure delivery quality.

The role emphasizes production-grade integrations, platform-native tooling, and compliance with FERPA and security requirements.