GOODYEAR, AZ · REMOTE (US)
HYBRID PHOENIX
Jordan Truong — AI Engineer in Goodyear, AZ. Open to remote-US or Phoenix-area roles.
Agentic engineering — formal specs, CI/CD gates, eval-gated reliability. Not vibe coding.
Production agentic AI: multi-agent systems, RAG pipelines, and the infrastructure beneath them. Solo-built and run in daily production, end to end, from a terminal in Arizona.
The arc: twelve years a salon owner-operator. Then roughly four years in enterprise IT. Now AI engineering, shipping software that runs itself. Same instinct throughout: make the hard thing dependable.
Fifty-plus skills loaded on demand, fifteen MCP servers, auto-memory across sessions, and layered guardrails. The model is 10% of the system — the harness is the other 90%.
Eight agentic systems in daily production: healthcare + telecom copilots (114/114, 162 flows), in-browser SQL / Email / RAG agents, SaaS with offline licensing, a 7-agent outreach engine — and the orchestration layer wiring all of it. Tap to browse.
Open-source MCP memory server. One command to install: pip install all41n14lla. A 73-test suite runs green in CI across Python 3.11 through 3.14.
Scout finds. Diagnoser maps. Builder ships. Filmer cuts. Checker validates. Pitcher sends. No staff. No retainer. $0.10/lead.
Type a question in plain English. Watch it become a safe, parameterized query.
Open demo →Paste raw email. The agent classifies, prioritizes, and drafts a reply in one pass.
Open demo →Inline citations, confidence-gated abstention — it declines rather than guesses. Domain: healthcare revenue cycle.
Open demo →Or open the chat bubble (bottom-right) to ask me anything.
Each demo is eval-gated — 149 automated tests, CI/CD on every commit.
Owner-operator of a salon and beauty business. Scheduling, payroll, inventory, hiring, client experience — all of it. The job taught systems thinking before I had a name for it: every constraint is a design problem, every bottleneck is a process failure waiting to be solved.
Joined the workforce-management tech stack at scale. Claims processing, healthcare RCM, multi-team ops coordination. Learned what large-system reliability actually means when a misconfigured rule costs someone a reimbursement. Then LLMs became capable enough to matter.
Shipped a PyPI MCP server, a live RAG+GraphRAG knowledge assistant, a multi-agent VPS brain, and a licensed SaaS product — all solo, all in production. The plan is to keep shipping until the systems are earning while I sleep.
Solo-built multi-agent VPS, SoloInvoice SaaS, RCM knowledge assistant. All in production.
Built production AI tooling across two enterprise campaigns: HIPAA RCM copilot (114/114, 21 suites, 72 KB-grounded scripts, 27 RPM playbooks, 41 canned-note codes) and ACES Aid (162 flows, 40+ agents, 1,500+ indexed keywords). KPI bonus maxed. Both in daily floor use.
Managed provisioning across 1,000+ franchise locations. Led network/security audits with firmware rollouts sequenced across timezone waves.
Two enterprise campaigns: HMH education software (app/account triage, escalation) and Dell Technologies (hardware diagnostics via Zendesk, live Teams collaboration with senior techs, warranty logistics).
Twelve years running a service business end-to-end: hiring, payroll, scheduling, P&L. Operational systems thinking at its most direct.
Remote-US or Phoenix metro only. Open to full-time AI / agentic-systems roles.