Remote GenAI & GCP Gemini Engineer

Nelnet; Jackson (MS); Remoto; USD 130.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental, vision

401K + student loan repayment

Generous PTO & wellness program

Descrizione del lavoro

Nelnet is seeking a remote GenAI Platform Engineer to own the build and deployment of Gemini Enterprise Agent Platform solutions for higher education and SLED clients, translating backlog into working, compliant AI services. You will collaborate with Data and Ops engineers on data readiness, integration, and deployment, designing RAG pipelines, model integrations, and production-grade interfaces.

This role emphasizes delivering high-quality, secure AI deployments on Google Cloud with a focus on

Competenze

• Hands-on experience building GenAI/agentic AI solutions in production.
• Familiarity with Gemini/Vertex AI or comparable platforms and cloud data services.
• Ability to design reusable, scalable AI solutions for higher education and government clients.

Mansioni

• Design, build, and deploy agentic assistants and GenAI applications on Gemini Enterprise Agent Platform.
• Implement RAG pipelines and grounding using platform capabilities.
• Integrate A2A protocol and multi-agent orchestration patterns where needed.
• Deliver high-quality, secure production deployments and participate in code reviews.

Conoscenze

GenAI production experience

RAG pipelines

Python

Google Cloud / Gemini

Multi-agent orchestration

Model integration

LLM prompt engineering

Strumenti

Gemini Enterprise Agent Platform

Vertex AI

BigQuery

GKE / container platforms

IAM

Descrizione del lavoro

Nelnet is seeking a remote GenAI Platform Engineer to own the build and deployment of Gemini Enterprise Agent Platform solutions for higher education and SLED clients, translating backlog into working, compliant AI services. You will collaborate with Data and Ops engineers on data readiness, integration, and deployment, designing RAG pipelines, model integrations, and production-grade interfaces.

This role emphasizes delivering high-quality, secure AI deployments on Google Cloud with a focus on