Intern AI Engineer

Our Vision: We make dreams possible.

Yes were a student loan servicer. Were also a technology company idea incubator start-up accelerator and K-12 and higher education expert. At Nelnet were so much more than what you thinkand were just getting started. So no matter what you want to do in lifebuild codes or build brandswere the best place to do it.

Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive one-on-one mentorship competitive pay casual dress flexible schedule intern-specific programming and meaningful work experience.

Apply to one of our internships today. Your career awaits.

Agent Development: Help build test and iterate on AI agents using the teams secure agent framework. This includes working with LLM APIs multi-agent orchestration patterns and tooling that runs in Nelnets Microsoft 365 and cloud environment.

Technical Research: Track developments in LLM frameworks agent architectures tooling and industry approaches. Evaluate options against the teams real constraints (security identity M365 integration) and surface findings with clear so what framing. Research here feeds real decisions not slide decks.

Integration and Prototyping: Build proof-of-concept integrations between LLM-based systems and Nelnets internal tools and APIs. Test assumptions early document what worked and what didnt and hand off something the team can build on.

Code Review and Documentation: Document design decisions system behavior and implementation notes with the precision of someone who expects a future engineer to read it. Participate in code review as both author and reviewer.

Final Presentation: Present your work findings and recommendations to AI Lab leadership and team members at the end of the internship period.

Education

Pursuing a degree in Computer Science Software Engineering Data Science or a related technical field.

We care more about what youve built than which courses youve taken. A strong portfolio of personal projects open-source contributions or prior technical internships carries more weight than GPA alone.

Experience

Hands-On AI Tool Usage (Required): Has used LLMs for real technical work not just experimentation. This might mean using Claude or ChatGPT to write debug or extend code; building a personal project with an LLM API; or integrating AI tooling into a workflow. Can speak concretely about what they built how it worked and what the limits were.

Programming: Python is the primary language. Solid working knowledge is required. Experience with any of the following is a strong plus: LangChain LangGraph Claude API OpenAI/Claude SDK FastAPI or similar frameworks. Familiarity with REST APIs JSON and basic cloud or serverless patterns is beneficial.

Prior Technical Projects: Personal projects research coursework projects or prior internships that involved building something end-to-end. We want to see evidence of independently scoped and completed technical work however small.

Collaboration Under Ambiguity: Experience working on a team where requirements werent perfectly defined. Comfortable asking clarifying questions proposing solutions and moving forward without waiting for perfect information.

Competencies

LLM Fluency: Uses LLMs as a genuine engineering tool not just a novelty. Understands prompt construction context windows tool use and the failure modes that matter in production. Knows when to reach for an LLM and when not to.

Agentic Systems Thinking: Understands how business workflows can be decomposed into agentic patterns: what an agent owns what it delegates what triggers it and where it can fail. Asks the right questions about data access identity security and trust before assuming the happy path.

Programming and Technical Depth: Working Python proficiency. Comfortable reading unfamiliar code debugging across system boundaries and writing code others can maintain. Experience with LLM frameworks or API integration is a significant plus.

Research Rigor: Can evaluate a new framework or approach systematically: what problem it solves what the tradeoffs are and whether it fits this teams constraints. Not satisfied by marketing copy or surface-level comparisons. Produces findings that are actionable.

Problem-Solving Under Ambiguity: Early-stage environments dont have complete specs. Comfortable breaking down a vague requirement into concrete next steps identifying what needs to be true before moving forward and flagging when a direction isnt working.

Communication: Can explain a technical approach to a non-technical stakeholder and a design decision to a senior engineer in the same day. Written communication is precise. Code and documentation reflect the same clarity as verbal explanations.

Curiosity Over Credentials: More interested in understanding how something actually works than in appearing to already know it. Experiments readily is not defensive about being wrong and learns faster from real usage than from documentation alone.

Ethical Grounding: Understands that AI systems reflect design choices and that those choices have real consequences. Thinks seriously about data privacy identity and the responsible use of AI in an enterprise setting. Can engage with the tradeoffs not just recite the principles.

Adaptability: The AI tooling landscape changes fast and so does this teams priorities. Comfortable updating assumptions when new information arrives. Not attached to the first approach when a better one emerges.

Pay - $21 - $25

Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race color religion/creed national origin gender sex marital status age disability use of a guide dog or service animal sexual orientation military/veteran status or any other status protected by federal state or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.

Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at or.

Nelnet is a Drug Free and Tobacco Free Workplace.

Use of Artificial Intelligence in Hiring

We may use automated or artificial intelligence enabled tools to assist with the initial review of applications such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring