AI/ML Lead

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What Will You Really Do?

• Build Real Things: Architect, code, debug, and deploy across web, mobile, and AI-driven platforms—shipping features that make “digital construction” real.
• AI in the Wild: Prototype, implement, and iterate on smart tools—AI copilots, data extraction engines, predictive models, bots, and recommendations that actually get used by teams on-site and off.
• Mentor in the Trenches: Lead by example—review PRs, brainstorm, pair-program, and help your fellow devs level up (no Gantt charts or middle management fluff).
• Problem-Solve Fast: Tackle big, messy, real-world challenges in construction/manufacturing, and spin up proof-of-concepts (using Python, Node, React, or whatever works).
• Collaborate Across Worlds: Work with founders, designers, engineers, and even folks on the shop floor—translating ideas between code, hard hats, and high-rises.
• Push Innovation: Stay obsessed with new tools—integrate with everything from Autodesk to AWS to cutting-edge AI APIs (think GPT and what comes next).
• Ship, Test, Repeat: Prioritize code that works over endless process—if it helps builders build, it belongs in prod.
  

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What Do You Bring?

• Proven coder: You’ve shipped serious web/mobile/AI-powered stuff—React, Node.js, Python, Java, or similar (bonus for ML or IoT integration).
• Deep engineering skills: Data structures, algorithms, design patterns, scalable architecture, debugging, and smart system design are your bread and butter.
• API wrangler: RESTful APIs, database design (SQL/NoSQL), and cloud wizardry (AWS, Azure, GCP) get you pumped.
• Hacker’s heart: “Let’s hack a prototype!” is your go-to—whether with code or AI playgrounds.