Fuel Cycle
Market Research
AIEngineering&OperationsIntern
“AI Engineering & Operations Intern at Fuel Cycle. Skills: LLM APIs, Prompt Engineering, AI Systems Thinking, Evaluation & Iteration. Build AI-powered tools. Integrate AI-powered tools”
What You'll Achieve.
Successful delivery of AI-powered tools or integrations; Demonstrably improve team efficiency; Demonstrably improve automation coverage; Demonstrated ability to evaluate AI outputs rigorously; Iterate based on qualitative and quantitative feedback; Effective cross-functional collaboration; Accelerate AI adoption; Ensure solutions are practical; Ensure solutions are well-documented; Positive feedback from cross-functional stakeholders
Industry & Context.
What They're Looking For.
Must Have
Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, AI/ML, Software Engineering, Information Systems, or a related field, Previous internship, coursework, or project work involving LLMs, AI application development, or AI/ML APIs, Comfortable writing familiarity with REST APIs, JSON, and at least one LLM SDK or framework (e.g., LangChain, LlamaIndex, OpenAI SDK)
Nice to Have
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
What You'll Do.
Build AI-powered tools
Integrate AI-powered tools
Optimize AI-powered tools
Improve business operations
Accelerate decision-making
Monitoring AI systems
Evaluating AI systems
Contribute to internal initiatives
How You'll Work.
Team & Collaboration
Work closely with Product, Engineering, and Operations teams; Work alongside Product Managers, Engineers, and Business Stakeholders; Collaborate with cross-functional stakeholders
Communication Scope
Explain AI system behavior; Explain AI system limitations; Explain AI system tradeoffs; Communicate AI system behavior clearly; Communicate AI system outputs clearly
Process & Methodology
Manage multiple AI workstreams simultaneously, Balance speed of experimentation with documentation and quality standards
Applying for this AI Engineering & Operations Intern role?
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