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Connor ByrneCB
Open to opportunities

Connor Byrne

@connorbyrne

Senior AI Product Engineer building LLM-powered, RAG-based products from idea to production.

Ireland
Message

What I'm looking for

I’m looking to build developer-facing AI products in remote-first teams—owning features end-to-end, experimenting with LLM/RAG/agent workflows, and driving production reliability from discovery through launch.

I’m a Senior AI Product Engineer with 6+ years of software engineering experience and 4+ years building AI-powered products. I’ve thrived in startup environments, owning products end-to-end—from product discovery and rapid prototyping through production release.

At Userflow, I own end-to-end delivery of AI-powered product features. I’ve built LLM-driven experiences for onboarding and adoption workflows, designed full-stack architectures connecting AI services to application backends and customer-facing interfaces, and implemented context-aware systems grounded in product, user, and knowledge-base data.

I specialize in LLM applications like agentic workflows, RAG, and AI automation, with a strong focus on reliability. I help drive prompt optimization, experimentation frameworks, monitoring, and production reliability in remote-first, asynchronous teams—and I collaborate closely with Product, Design, and Engineering to ship outcomes users can feel.

Experience

Work history, roles, and key accomplishments

Userflow logoUS
Current

Senior AI Product Engineer

Userflow

Jan 2023 - Present (3 years 6 months)

Owned end-to-end delivery of AI-powered product features from concept through production release. Built LLM-driven experiences for customer onboarding and product adoption workflows, grounded in product/user/knowledge-base data, and implemented AI automation workflows to reduce manual effort.

Education

Degrees, certifications, and relevant coursework

NI

National College of Ireland

Bachelor of Science (Honours), Software Development

2016 - 2020

BSc (Hons) in Computing with a focus on software engineering, distributed systems, databases, and cloud computing.

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