Software Engineering Intern – MLOps (LLM & Agent Systems)

We are seeking a Software Engineering Intern to join our Machine Learning Operations (MLOps) team, with a strong emphasis on Large Language Models (LLMs), agent-based systems, and production AI tooling.

While this role touches traditional ML concepts, the majority of our work focuses on LLM-powered systems—including prompt-driven workflows, tool-calling agents, orchestration layers, and model integrations—rather than classical model training or research.

This is a hands-on, production-focused internship. You will contribute directly to internal platforms and services that power AI-driven features used by real users. This role is on-site in Houston, with close collaboration and mentorship from the engineering team.

This role is based at our DNV office in Houston, TX.

What You’ll Do

Depending on team priorities, you may contribute to:

• Backend services that power LLM-driven workflows and AI agents
• Integration of LLM providers (e.g., OpenAI, Gemini, etc.) into production systems
• Model Context Protocol (MCP) tools and servers for safe, structured tool access
• Agent orchestration logic (multi-step reasoning, tool calling, handoffs)
• Frontend interfaces (Vue or React) for configuring and interacting with AI workflows
• Observability, logging, and cost tracking for LLM usage

• Improving reliability and developer experience of AI-enabled systems

   

   

Responsibilities

• Implement features in production backend and frontend codebases
• Build and maintain APIs that interact with LLMs and internal tools
• Write clean, maintainable, and testable code
• Participate in code reviews and technical design discussions
• Debug issues across distributed systems (APIs, agents, UI)
• Document workflows, agent behavior, and system decisions
• Learn and apply best practices for shipping AI systems responsibly

• Generous paid time off (vacation, sick days, company holidays, personal days)
• Multiple Medical and Dental benefit plans to choose from, Vision benefits
• Spending accounts – FSA, Dependent Care, Commuter Benefits, company-seeded HSA
• Employer-paid, therapist-led, virtual care services through Talkspace
• 401(k) with company match
• Company provided life insurance, short-term, and long-term disability benefits
• Education reimbursement program
• Flexible work schedule with hybrid opportunities
• Charitable Matched Giving and Volunteer Rewards through our Impact Program
• Volunteer time off (VTO) paid by the company
• Career advancement opportunities 

**Benefits vary based on position, tenure, location, and employee election**

DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. 

DNV is committed to ensuring equal employment opportunity, including providing reasonable accommodations to individuals with a disability. US applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (hrrecruitment.northamerica@dnv.com). Information received relating to accommodation will be addressed confidentially. 

For more information

https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal

What is Required

• Currently pursuing (or recently completed) a degree in Computer Science, Software Engineering, or a related field
• Hands-on experience with one or more of the following:
  • Python
  • Node.js
  • Vue.js or React
• Strong fundamentals in programming and APIs
• Familiarity with Git and collaborative development workflows
• Ability to take ownership of tasks and work independently after initial guidance
• Strong problem-solving skills and curiosity about how systems work end-to-end
• Strong written and verbal English communication skills 
• We conduct pre-employment drug and background screening
   

What is Preferred

• We strongly prefer for you to submit a 1-page cover letter along with your resume when applying
• Experience