Jonathan Eyler-werve is a product-focused AI engineering leader and startup founder with 13 years of experience building B2B SaaS, AI/ML platforms, and data workflows from prototype to production. He has led product, design and engineering teams at scale—directing 0-to-1 efforts, $25M annual budgets, and orgs of senior PMs and designers—while shipping solutions for customers like Boeing, AWS, Abbott, and major financial services. An early practitioner of LLMs (since 2019) and NLP (since 2012), he now focuses on agentic apps, AI evaluation, safety, privacy and “day two” operability for on-prem and cloud foundation models. His career blends hands-on product engineering and UX roots (co‑founding startups and launching data workflow SaaS used by the World Bank and NPR) with strategic advisory work for regulated industries. Notably, he combines deep domain experience in moderation and content-safety systems with practical platform-level concerns—observability, provisioning, and ROI—for real-world AI adoption. Based in Chicago, he pairs operator discipline with an inventor’s curiosity for model-context protocols and agent-to-agent orchestration.
12 years of coding experience
21 years of employment as a software developer
BA Political Science and Journalism, BA Political Science and Journalism at Colorado College
Contributions:2 PRs, 6 pushes, 2 branches in 4 years 10 months
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Jonathan Eyler-werve - Staff Solution Engineer at Focused