> Markdown version of [/jobs/ext/629224-computer-vision-engineer](https://www.wearedevelopers.com/jobs/ext/629224-computer-vision-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision Engineer - **Company:** RUNPOINT CO. LLC - **Location:** Dallas, TX, United States - **Salary:** $180,000.0 - $240,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Computer Vision, Mobile Application Development, IP Cameras, RTSP - **Published:** June 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=60ffe76a8ba99609 ## About the Role Do you have experience in Performing background checks?, A genuine full-stack builder who is equally happy on a ladder with a camera and in an editor wiring up an app. You self-host this kind of thing for fun, and you can also ship software people use. ## Description Runpoint is an AI implementation firm. We have an active engagement with a venture-backed education company on a live pilot that puts cameras, microphones, and local AI into real physical spaces. The system watches a busy room and turns what it sees and hears into useful daily summaries for end users. You would own it end to end: the rig on the wall, the models that make sense of it, and the app people actually open. What you'd do: Stand up the hardware. IP cameras (RTSP) and directional mics into a local NVR on a server with an AI accelerator. Mount and move cameras, pull cable, sort out on-site networking and bandwidth, work with the facility's IT person. Own the edge layer. Tune detection, face recognition, and classification so the system reliably produces clean structured data. Decide what runs live versus batched overnight. Build the app. Turn that structured data into a user-facing daily readout plus a staff review and coaching flow. Native app likely. Run the experiment. We'll try several cameras, mics, and approaches and learn what's valuable as we go. You drive that and rebuild as needed. ## Related Videos - [Computer Vision from the Edge to the Cloud done easy](https://www.wearedevelopers.com/videos/263-computer-vision-from-the-edge-to-the-cloud-done-easy) - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [How computers learn to see – Applying AI to industry](https://www.wearedevelopers.com/videos/756-how-computers-learn-to-see-applying-ai-to-industry) - [From Collecting Bottle Caps πŸ₯€to Building Vision πŸ‘€](https://www.wearedevelopers.com/videos/2028-from-collecting-bottle-caps-to-building-vision) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)