Curtis Giberson
Senior Full-Stack AI Engineer | RAG, LLMs, Automation
About
I am a Senior Full Stack AI Engineer with 6+ years of experience designing and shipping production grade AI systems that solve real business problems at scale. My work sits at the intersection of Generative AI, Retrieval Augmented Generation, and full stack engineering, turning complex data, workflows, and user needs into reliable, high impact products.
I have led the end to end development of AI driven platforms using LLMs, embeddings, and vector databases to deliver hyper personalized experiences across millions of transactions. From architecting scalable Node.js and Python microservices to building modern React and Next.js frontends, I focus on systems that are not only intelligent, but observable, secure, and production ready.
A key strength of mine is AI orchestration, designing retrieval pipelines, prompt strategies, evaluation frameworks, and human in the loop feedback systems that reduce hallucinations and improve factual accuracy in high stakes environments such as finance and analytics. I have helped teams cut research time by up to 70%, reduce latency by over 75%, and accelerate development cycles through automation and AI assisted workflows.
I thrive in fast moving, cross functional environments where experimentation, iteration, and clear technical reasoning matter. Clients and teams value me for my ability to explain architectural decisions clearly, balance speed with reliability, and ship AI systems that work in the real world, not just demos.
If you are looking for someone who can take an AI idea from concept to production and confidently justify every technical decision, I can help.
Skills
Languages
Starting from
Key Information
Work mode
Remote
Mission Duration
No preference
Location
Toronto, ON
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