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FI

Engineering Fellowship — AI, Backend & Cloud

Fitzroyadvisors
Posted 2 hours ago
🇺🇸United States🏠Remote📁Engineering & Development
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About Fitzroy Fitzroy Consulting LLC is a technology consulting firm focused on backend systems, cloud infrastructure, AI workflow integration, and execution-focused delivery. We help growing companies fix unstable systems, improve technical foundations, and build infrastructure that supports scale. About the Fellowship The Engineering Fellowship is designed for students and early-career builders interested in AI, backend engineering, cloud systems, and modern software delivery. Fellows may contribute to internal tools, technical research, AI workflow prototypes, cloud architecture concepts, backend design exercises, and client-readiness materials. This is a hands-on opportunity to work close to the early development of a premium technology consulting firm. What You May Work On Researching AI, backend, cloud, and infrastructure trends Building or supporting internal tools and automation workflows Exploring LLM-powered workflows and agent concepts Supporting technical briefs and engineering documentation Prototyping backend or cloud-related ideas Helping prepare internal technical materials for future client work What We Look For Interest in software engineering, AI, backend systems, or cloud infrastructure Familiarity with Python, JavaScript, TypeScript, Java, or similar languages Curiosity about AWS, cloud architecture, APIs, automation, or LLM tools Ability to communicate technical ideas clearly Strong ownership, reliability, and attention to detail Portfolio, GitHub, class projects, or personal projects are a plus Who This Is For This fellowship is best for someone who wants to learn how engineering work connects to consulting, business strategy, infrastructure, and AI adoption. Eligibility : This fellowship is intended for current university students and recent graduates only. Note Fellowship availability, structure, responsibilities, and timing may vary based on Fitzroy’s current priorities and candidate fit.

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