Remote: Yes (SF Bay Area / California hybrid for the right team)

Willing to relocate: No

Technologies: Python, ML/LLM systems, RAG, agentic AI, workflow automation, Next.js, analytics, browser automation, deployment (Vercel/Cloudflare), short form video + media ops

Resume/CV https://alexhorton.dev/resume-bio

Portfolio: https://alexhorton.dev

I'm a product-minded AI engineer looking for applied-AI, forward-deployed, or AI-product roles where I own a measurable workflow outcome end to end: intake → diagnosis → build → deploy → measure. I run a private agent operating system across real projects — energy decision tools (EnergyScout), property financial diagnostics (PropFi), a lead engine (Meta creative → landing → CRM → source-to-result measurement), and quantitative research with strict out-of-sample validation (BitcoinML). I build the full loop myself: research, data, automation, media, deployment. I am personally motivated by projects with a strong ethos or mission. Historically I have worked in the fields of sustainability, economic empowerment (design for the 3rd world), and technological sovereignty-- exploring the connections between technology, society, and sustainability.

Looking for: applied AI, forward-deployed engineering, AI product engineering, or fractional AI operator roles — mission-led, zero-to-one, remote or Bay Area/Socal hybrid preferred.