The latest articles on DEV Community by Jess (@jess_e28d5c0ae87a7cb4c407). https://dev.to/jess_e28d5c0ae87a7cb4c407 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4097979%2Fcc2a2e37-3489-478e-b352-867aa27f3a9d.png https://dev.to/jess_e28d5c0ae87a7cb4c407 en Jess Thu, 27 Aug 2026 20:47:46 +0000 https://dev.to/knowyitech/were-hiring-founding-aiml-engineer-at-knowyi-technologies-2hf7 https://dev.to/knowyitech/were-hiring-founding-aiml-engineer-at-knowyi-technologies-2hf7 <p>KnowYi Technologies is hiring a Founding AI/ML Engineer to help build the intelligence layer for hardware execution.</p> <p>KnowYi is building the execution layer that helps hardware teams turn engineering intent into delivered industrial products.</p> <p>Hardware execution rarely breaks because a team cannot find a supplier. It breaks because production intent is scattered across drawings, BOMs, CAD files, customer notes, revision history, supplier questions, inspection evidence, and delivery updates.</p> <p>We are building software that turns this fragmented information into structured execution: what is missing, what needs to happen next, what suppliers need to know, what happened during the build, and what should be remembered for the next revision.</p> <p>We are looking for a Founding AI/ML Engineer to build the AI infrastructure behind this system and work directly with the founder on real customer and production workflows.</p> <p>What you’ll work on<br> AI systems for parsing drawings, BOMs, CAD metadata, customer notes, inspection files, and production records<br> LLM and RAG workflows for hardware build intake, missing-input detection, supplier-ready package generation, and project memory<br> Data pipelines that learn from real build history, including materials, processes, tolerances, supplier questions, QC issues, lead times, and delivery outcomes<br> Agentic workflows across intake, clarification, routing, production status, inspection evidence, and customer-facing updates<br> Backend and product infrastructure that turns real hardware execution workflows into scalable software</p> <p>This is not a role focused on building another generic AI wrapper or SaaS workflow.</p> <p>You will be building AI systems inside a real hardware execution business, where software decisions connect directly to physical production outcomes.</p> <p>Who this role is for</p> <p>We are looking for someone who wants significant technical ownership, enjoys working with messy real-world data, and is excited by the intersection of AI, manufacturing, robotics, hardware, and production systems.</p> <p>Experience with technologies such as Python, LLMs, RAG, agents, data engineering, backend systems, PostgreSQL, TypeScript, or Next.js is relevant, but we care most about your ability to reason through difficult systems and build quickly.</p> <p>Compensation &amp; location</p> <p>Base salary: $90,000-$120,000 USD/Year<br> Equity: 0.25%-1.0%, depending on experience and ownership level<br> Location: Remote, Waterloo, or San Francisco</p> <p>This is a high-ownership founding engineering role for someone who wants to help define how AI infrastructure can operate inside real-world hardware production.</p> <p>About KnowYi</p> <p>KnowYi Technologies helps hardware teams move from incomplete engineering inputs to real production units.</p> <p>The execution layer from engineering intent to real production.</p> <p>Website: <a href="https://www.knowyi.tech/" rel="noopener noreferrer">https://www.knowyi.tech/</a><br> GitHub: <a href="https://github.com/KnowYiTech" rel="noopener noreferrer">https://github.com/KnowYiTech</a></p> <p>Interested? Apply through our Founding AI/ML Engineer job listing on F6S.<br> <a href="https://www.f6s.com/knowyi-technologies/jobs" rel="noopener noreferrer">https://www.f6s.com/knowyi-technologies/jobs</a></p> ai machinelearning career hiring