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

About Energy Systems
We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.