- Updated: April 1, 2026
- 3 min read
InspectMind AI Announces Hiring of Software Engineer for AI Plan Checker
InspectMind AIAI agent for construction drawings reviewSoftware Engineer: Build the World’s Best AI Plan Checker$120K – $220K•0.25% – 0.75%•San Francisco, CA, US / RemoteJob typeFull-timeRoleEngineering, Full stackExperience3+ yearsVisaWill sponsorConnect directly with founders of the best YC-funded startups.Apply to role ›Aakash PrasadFounderAakash PrasadFounderAbout the roleInspectMind AI • San Francisco • Full-time $120K – $220K + Equity The Mission Every building is designed using drawings that often contain hundreds of mistakes. These mistakes lead to costly delays, rework, and sometimes unsafe structures. We’re building the AI Plan Checker — a system that reviews full construction plan sets (drawings, specs, calculations) in PDFs and finds issues before anything gets built.Our goal is simple: every construction project in the world gets checked by AI before permitting and construction. Faster approvals. Fewer mistakes. Safer buildings. Traction • 100%+ month-over-month growth • Hundreds of paying customers • Thousands of projects processed • Engineers finding hundreds of real issues per project • Fully self-serve product This is already being used in real workflows.So far, InspectMind AI has been used to check drawings across projects in data centers, universities and K–12 schools, hospitals and clinics, large multifamily and senior housing, energy infrastructure (battery storage, utility terminals), commercial spaces, and more, supporting architects, engineers, contractors, owners and developers across the US, Canada, Europe, South America, and Asia. The Problem Our AI can already find a lot of issues.Now we’re focused on what matters most: • Turning thousands of raw issues into clear, high-signal insights • Reducing false positives and noise • Making results trustworthy and actionable • Driving repeat usage and team adoption This is a hard technical problem across computer vision, AI agents design, and system design.What You’ll Do • Build core product features end-to-end (frontend, backend, AI) • Improve accuracy and signal-to-noise of results • Work directly with users (engineers, architects, contractors, developers) • Own major parts of the product from idea to production • Ship fast and see immediate real-world impact What We’re Looking For • 2–5+ years of experience shipping production code • Our product is built entirely by AI.You need to use coding agents like Claude Code and Codex effectively to ship quickly while maintaining code quality and security. • High velocity and strong ownership • Strong intrinsic motivation to learn and grow • Good product instincts and user empathy • Excited by ambiguity and hard problems Tech stack AWS + NextJS Why This Is Special Your work will directly impact real buildings and real safety. If we succeed, every construction project globally will run through systems you helped build.Team • Ex-Google, Airbnb, Berkeley, CMU • Former founders and early engineers • YC W24, AI Grant, top VCs Small team, high ownership, fast execution. How We Work • Fast-moving, product-focused • Direct access to users • No bureaucracy Interview Process • Intro call • Technical interviews • Trial project • Offer Apply If you want to build something that matters and push AI into the real world, we’d love to talk.About InspectMind AIInspectMind AI is changing the game for people who build and design buildings by making it super easy to do their paperwork. Our tool uses AI to quickly turn videos and photos from construction sites into detailed, accurate and well formatted reports. What used to take days of typing and organizing now takes just minutes. With our app, workers can spend less time at their desks and more time doing the important stuff on site.InspectMind AIFounded:2023Batch:W24Team Size:3Status:ActiveLocation:San Francisco FoundersAakash Prasad FounderAakash Prasad FounderShuangling Yin FounderShuangling Yin Founder
Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.