> Markdown version of [/jobs/ext/1993374-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1993374-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI / ML Engineer - **Company:** Nelnet - **Location:** Lincoln, NE, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Frameworks, Continuous Integration, Machine Learning, Regression Testing, Data Streaming, Retrieval-Augmented Generation, Large Language Models, Caching, Information Technology, Machine Learning Operations, Terraform - **Published:** August 8, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/ai-ml-engineer-lincoln-ne-usa-58854218 ## About the Role models, * Design retrieval and context strategies (RAG, structured data, caching, chunking, ranking) * Build and maintain tools, APIs, and connectors for agents to interact with internal data * Design scalable AI pipelines and services on AWS; use Terraform and CI/CD for deployment * Implement safety controls, validation, access boundaries, and audit trails in a regulated environment * Collaborate with teams to expand agent adoption, prototype, and turn wins into reusable frameworks * Document agent architectures, prompts, tool contracts, data flows and limitations * Track foundation model and tooling developments and integrate useful improvements * Mentor team members on agent design, evaluation practices, and applied AI best practices Tasks * Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field (or equivalent experience) * U.S. Citizenship and ability to obtain U.S. 6C Security Clearance * Minimum 2 years of experience in ML/AI engineering or related roles * Demonstrated experience building agentic systems with large language models (tool use, orchestration, multi-step workflows) * Hands-on experience evaluating LLM/agent systems and designing eval sets * Experience deploying and supporting AI/ML systems in production * Experience with retrieval-augmented generation and grounding models in enterprise data Key requirements * Medical, dental, and vision coverage * HSA and FSA * generous earned time off * 401K and student loan repayment * life insurance & AD&D * tuition reimbursement ## Description Experteer Overview As an AI / ML Engineer at Nelnet, you will design, build, and operate AI agents at scale, turning prototypes into reliable production capabilities. You'll partner with data scientists and product teams to identify high-value use cases and establish reusable patterns and guardrails. Your work spans maintaining a healthy agent fleet, evaluating models, and expanding agentic capabilities across the organization. This role offers the chance to shape how AI is used in a regulated, enterprise environment and to contribute to business-wide automation and insights. Compensation / Benefits * Design, build, and deploy LLM-powered agents to solve business problems * Maintain health of existing agent fleet: monitor, diagnose, tune prompts, upgrade models without quality loss * Create and maintain evaluation suites for agent systems (offline tests, LLM-as-judge scoring, regression testing) * Instrument agents with end-to-end observability (traces, token usage, latency, cost, outcomes) * Design retrieval and context strategies (RAG, structured data, caching, chunking, ranking) * Build and maintain tools, APIs, and connectors for agents to interact with internal data * Design scalable AI pipelines and services on AWS; use Terraform and CI/CD for deployment * Implement safety controls, validation, access boundaries, and audit trails in a regulated environment * Collaborate with teams to expand agent adoption, prototype, and turn wins into reusable frameworks * Document agent architectures, prompts, tool contracts, data flows and limitations * Track foundation model and tooling developments and integrate useful improvements * Mentor team members on agent design, evaluation practices, and applied AI best practices Tasks * Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field (or equivalent experience) * U.S. Citizenship and ability to obtain U.S. 6C Security Clearance * Minimum 2 years of experience in ML/AI engineering or related roles * Demonstrated experience building agentic systems with large language models (tool use, orchestration, multi-step workflows) * Hands-on experience evaluating LLM/agent systems and designing eval sets * Experience deploying and supporting AI/ML systems in production * Experience with retrieval-augmented generation and grounding models in enterprise data Key requirements * Medical, dental, and vision coverage * HSA and FSA * generous earned time off * 401K and student loan repayment * life insurance & AD&D * tuition reimbursement ## Related Videos - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)