Fuel Cycle
Market Research
AIEngineering&OperationsIntern
Neural analysis suggests this role is
optimal for Entry candidates.
“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
Full Job Description
About Fuel Cycle: Fuel Cycle empowers leading organizations with agile research solutions that deliver decision-ready insights — fast, flexible, and fully integrated. As a market research disruptor, our AI-powered Insights Platform is built for speed, precision, and scale. With cutting-edge tools and seamless audience connectivity, we help brands ditch the guesswork and make smarter, customer-led decisions at lightning speed. Why work at Fuel Cycle? Join a high-growth team where curiosity is valued, ownership is encouraged, and your work drives real-world impact. Whether you’re based at our Los Angeles HQ, New York City hub, working remotely across the U.S., or part of our global team in India, you’ll help shape the future of decision intelligence for some of the world’s most iconic brands. Overview: 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. Location: Los Angeles, CA Work Arrangement: This is an onsite role requiring 3 days per week in the office. Key Responsibilities: AI Engineering & Integration - 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. Collaboration & Execution - Work alongside Product
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