Teams at Fuel Cycle

Build and deploy production AI agents using Python, FastAPI, AWS Bedrock, AgentCore, and Strands Agents. Develop MCP tools, RAG pipelines, prompts, model evaluations, and guardrails. Ship REST and WebSocket features backed by PostgreSQL and Redis, contribute to background jobs, test code, review pull requests, and document architectural decisions. This fully in-office early-career role emphasizes mentorship, fundamentals, curiosity, and progressively expanding ownership.

Leads quantitative and qualitative market research projects for Fortune 500 clients, from research planning and survey programming through data collection, analysis, reporting, and recommendations. Manages client relationships, project scope, budgets, timelines, and deliverables while mentoring junior researchers and collaborating with cross-functional teams. Ensures data quality, client satisfaction, and actionable insights across multiple concurrent projects.

Build and deploy AI agents and autonomous workflows for IT service desk, application management, cybersecurity, and broader internal operations. Develop BI dashboards, improve data quality, establish evaluation loops, measure automation impact, and maintain trusted operational metrics. Partner with Product, Engineering, and business leaders to expand AI-native processes across departments and create an enterprise AI operations playbook.