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; Demonstrably improve team efficiency; Demonstrably improve automation coverage; Demonstrated ability to evaluate AI outputs rigorously; Accelerates AI adoption; Ensures solutions are practical; Ensures solutions are well-documented
Industry & Context.
Methodical thinker; Iterate based on feedback
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
Develop and refine prompts
Automate repeatable tasks
Augment decision-making workflows
Translate business requirements
Select appropriate models
Design evaluation frameworks
Monitor deployed AI features
How You'll Work.
Team & Collaboration
Work alongside Product Managers; Work alongside Engineers; Work alongside Business Stakeholders; Cross-functional collaboration; Team-oriented attitude
Communication Scope
Explain AI system behavior; Explain AI system limitations; Explain AI system tradeoffs; Communicate AI system behavior; Communicate AI system outputs
Process & Methodology
Manage multiple AI workstreams, Balance speed of experimentation, Documentation and quality standards
Applying for this AI Engineering & Operations Intern role?
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