CGP / Gemini Enterprise Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nelnet

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1996

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Nelnet is a diversified services company that provides a wide range of solutions including government services, consumer services, technology services, and federal student loan services. The company specializes in customer-centric services, operational optimization, and support, offering digital accessibility, custom development, data analytics, artificial intelligence, and information security. Nelnet also offers business process outsourcing, contact center and back-office processing, loan servicing, and education services. Furthermore, Nelnet is involved in financial management, payment technology, and renewable energy through tax equity funding and solar installations. Nelnet is committed to enhancing education, government service provision, and energy innovation, promoting community engagement and philanthropic efforts through partnerships.

📋 Description

• Design, build, and deploy agentic assistants and GenAI applications on the Gemini Enterprise Agent Platform • Implement RAG pipelines and grounding using search and grounding capabilities • Integrate Agent2Agent protocol and multi-agent orchestration patterns • Evaluate and select foundation models based on client use case, cost, and performance • Fine-tune or prompt-engineer models for accuracy, safety, and compliance requirements • Monitor model performance and iterate based on feedback and retrospectives • Build evaluation harnesses and regression test sets for agent accuracy, grounding, and hallucination rates • Build live API and tool-calling integrations with client systems such as SIS, ERP, and casework systems • Partner with Data Engineering and AgentOps on data access, infrastructure, deployment, monitoring, and environment management • Maintain technical documentation of solution architecture, model configurations, and integration points • Convert one-off client work into repeatable playbooks and connectors • Execute the Forward Deployed Engineer’s delivery backlog, provide estimates, flag risks, and deliver solutions on schedule • Participate in technical discovery sessions to validate feasibility • Conduct code and configuration reviews • Serve as the quality gate for release readiness • Provide technical input on scope, risk, and timelines

🎯 Requirements

• Hands-on experience building and deploying GenAI/agentic AI solutions in production, including LLM-based assistants, RAG pipelines, or multi-agent orchestration • Direct experience with the Gemini Enterprise Agent Platform or Vertex AI preferred; deep GenAI experience on AWS Bedrock, Azure AI Foundry, OpenAI, or Anthropic APIs considered • Experience with large language models and prompt engineering, fine-tuning, or grounding techniques • Familiarity with the Agent2Agent (A2A) protocol and multi-agent orchestration patterns • Working knowledge of cloud data, compute, and access-control services supporting AI workloads, such as BigQuery/Snowflake, Cloud Run/GKE, and IAM • Google Cloud certification preferred, including Professional Machine Learning Engineer or Professional Cloud Architect • Experience building RAG pipelines and integrating LLM-based solutions with enterprise data sources • Software engineering fundamentals sufficient to build production-quality integrations using Python and/or relevant SDKs • Experience building evaluation harnesses or test suites for LLM/agent outputs and running regression tests before releases • Ability to work from a scoped backlog and translate technical requirements into working solutions

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • HSA • FSA • Generous earned time off • 401K/student loan repayment • Life insurance and AD&D insurance • Employee assistance program • Employee stock purchase program • Tuition reimbursement • Performance-based incentive pay • Short-term disability • Long-term disability • Robust wellness program