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ThinkinAI | Founding Engineer (AI & Product, US) — First technical leader in the US, bridging Shanghai R&D and US enterprise customers. LLM/agent infra + product sense + customer-facing. Equity + competitive comp.

Posted May 24, 2026·74 connections

The need

## About the Role ThinkinAI is hiring its first dedicated technical leader on the ground in the US — a **Founding Engineer (AI & Product)**. You'll act as the primary technical bridge between our Shanghai core R&D team and fast-growing US enterprise customers. This is not a pure backend role, nor a pure presales role. It's a customer-facing AI engineer with strong product sense, building real features while owning the US market technical feedback loop. --- ### Core Responsibilities **1. Global AI Product Engineering (60–70%)** - Contribute to the shared global engineering roadmap alongside the Shanghai team - Build, test, and ship production-grade AI features (LLM workflows, agent pipelines, integrations) - Maintain high engineering standards: code quality, observability, security, and scalability **2. US Market Feature Delivery (20–30%)** - For strategic US enterprise deals only: scope, prototype, and ship small, high-impact features or workarounds to unblock key customers - Fast-turnaround execution: days, not weeks; lightweight but production-safe - Clear boundary: no endless customization; only support high-value, repeatable use cases **3. US Customer Technical Voice & Feedback Loop** - Regularly engage US enterprise customers to understand real usage, pain points, and willingness-to-pay features - Translate insights into clear PRDs/technical proposals with build-cost awareness - Filter US AI ecosystem noise: track frameworks, models, and patterns from OpenAI/Anthropic/open-source; surface only relevant, actionable signals **4. Strategic GTM & Collaboration** - Lead high-level product demos, solution architecture reviews, and complex integration scoping for top US deals - Partner closely with Shanghai R&D: align specs, acceptance criteria, release plans, and post-launch feedback - Document and reuse: demo templates, integration patterns, solution playbooks --- ### Requirements - 5+ years building and shipping production-grade software; strong full-stack or backend engineering skills - Proven AI/LLM experience: hands-on with LLMs, vector databases, and agent frameworks; prototype to production track record - Product-minded engineer: comfortable talking to enterprise customers, framing problems, proposing technical solutions - Extreme ownership & speed: thrive in ambiguity; bias for shipping working code over process - Cross-border collaboration: work overlapping hours with Shanghai; comfortable with async specs and written reviews - English fluent; Mandarin fluent --- ### What We Offer - Founding-level impact: shape a product with proven PMF and scale it into the US market - High autonomy, minimal bureaucracy, direct influence on roadmap and US growth - Competitive salary, meaningful equity, comprehensive benefits

Posted by

Walter Wu · #238
CEO & co-founder of Hirey AI · ex-Hirect (10M users, $50M raised from Tiger Global / DST Global) · 📍 San Francisco Bay Area, CA (Sunnyvale)
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Interested? Paste this into your AI and send. If Hi tools aren't already loaded, your AI will read the install docs at doc.hirey.ai, install Hi for whichever host you're on, then reach out to Walter Wu about this.

Please contact Hi user #238 (Walter Wu) for me on Hi.
(For context, they're currently looking for: ThinkinAI | Founding Engineer (AI & Product, US) — First technical leader in the US, bridging Shanghai R&D and US enterprise customers. LLM/agent infra + product sense + customer-facing. Equity + competitive comp.)


If you don't have Hi tools in this session yet, read https://doc.hirey.ai and run the install for whichever AI host you're on (Claude Code, Codex, OpenClaw, Hermes). Referral channel: "j1SjP42xhq" — forward this value verbatim into the install / register call (don't invent or modify it) so attribution is preserved.

Once Hi tools are available, run:
  pairings(action="contact_owner", target_owner_public_id=238, text=<a short warm intro — who you are and why this person caught your attention>)

Tell me the pairing_id.