AI Engineering & Operations Intern

The AI Engineering & Operations Intern is responsible for building, integrating, and optimizing AI-powered tools and workflows that improve business operations and accelerate decision-making. This role is ideal for someone who is passionate about large language models, prompt engineering, and the practical deployment of AI systems. Working closely with our Product, Engineering, and Operations teams, the intern will help design and ship AI solutions—from prompt design and API integration to monitoring and evaluation—contributing to high-impact internal initiatives.

• Design, build, and iterate on AI-powered features and internal tools using LLM APIs (e.g., OpenAI, Anthropic, HuggingFace) to improve operational efficiency.

• Develop and refine prompts, chains, and agents to automate repeatable tasks and augment decision-making workflows.

• Translate business requirements into AI-powered solutions, selecting appropriate models, tools, and integration patterns.

• Work alongside Product Managers, Engineers, and Business Stakeholders to identify high-value opportunities for AI automation and tooling.

• Contribute to internal documentation, runbooks, and stakeholder demos that communicate AI system behavior and outputs clearly.

• Design and execute evaluation frameworks (evals) to measure AI output quality, accuracy, and alignment with business requirements.

• Monitor deployed AI features for performance, drift, and edge cases; iterate on prompts and configurations to improve reliability and safety.

• Successful delivery of AI-powered tools or integrations that demonstrably improve team efficiency or automation coverage.

• Demonstrated ability to evaluate AI outputs rigorously and iterate based on qualitative and quantitative feedback.

• Effective cross-functional collaboration that accelerates AI adoption and ensures solutions are practical and well-documented.

• Positive feedback from cross-functional stakeholders on clarity, execution, and results of delivered solutions.

• Product Managers

• R&D

• Operations Leads

• Finance

• Experience with RAG pipelines, vector databases (e.g., Pinecone, Weaviate, pgvector), or semantic search

• Familiarity with AI observability or evaluation tooling (e.g., LangSmith, Braintrust, Weights & Biases)

• Exposure to agentic frameworks (e.g., LangGraph, AutoGen, CrewAI) or multi-modal AI applications

At Fuel Cycle, we embrace the values of diversity, equity, and inclusion and are committed to fostering an inclusive company culture. We believe that everyone, regardless of their background or identity, should have equal access to opportunities for growth and advancement. Our selection processes and career pathways are designed to be fair, transparent, and free from bias. We value the unique perspectives and contributions of each team member, knowing that this diverse range of experiences strengthens our team. Fuel Cycle stands firmly against discrimination based on disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other protected status under the law.

Fuel Cycle is an equal opportunity employer and fully comply with the Americans with Disabilities Act (ADA). We will provide reasonable accommodations for qualified applicants and employees with disabilities, as needed, to enable them to perform the essential functions of their job and participate in the application and interview process. If you require accommodations during any part of the application process, please contact us at hr@fuelcycle.com to discuss your needs.