# Founding Software Engineer > Raydar · San Francisco, United States · Full-time · Posted 2026-10-01 **Salary:** USD 170,000–230,000 **Workplace:** on_site ## Description About the company Our client is a technology company. The role Raydar is recruiting for this role on behalf of our client. Own the full-stack product and the AI engineering behind it, taking systems from prototype to production for business users. You will work as a hands-on generalist with a lean toward backend work, partnering closely with the founders and a very small engineering group. The role also covers internal tooling, quality measurement and helping shape the team. What you'll do \- Build and own backend services, data storage, APIs and an application layer, moving them from prototype to production. \- Integrate multi-step AI reasoning workflows into real customer operating procedures and field processes. \- Co-own evaluation tooling and a feedback loop, designing evaluations with limited data and tracking failure modes to improve model quality each release. \- Build internal tooling and automate company workflows with AI, making build-versus-buy decisions. \- Contribute to go-to-market planning by helping choose which customer segments to pursue next. \- Help recruit and onboard additional engineers as the team grows. ## Requirements What we're looking for \- Early-career engineer, roughly one to three years in, who has put AI-driven or multimodal products in front of real users. \- Ability to own a real-time media pipeline end to end, with depth in low-latency streaming over unreliable networks, media capture, or low-latency model serving. \- A record of early-stage startup work that reached production, or time spent in a demanding, high-ownership engineering culture. \- Backend-leaning full-stack skills, having built databases, APIs and app layers on a modern cloud stack. \- Experience connecting physical devices to software, such as wearables, cameras, robotics, IoT or drones. \- Comfort working close to the hardware in a systems language, including profiling and working within memory and power limits. \- Strong computer science or engineering background, or an equivalent record of shipping. \- Hungry, scrappy and independent, with active use of the latest AI tools. \- Willingness to work on-site five days per week. Bonus points \- Computer vision, wearable or AR product experience. \- Edge or on-device inference deployment. \- On-prem or air-gapped deployment in high-security environments. \- Device and firmware fluency, including embedded Linux or device SDKs. \- Founder background or exposure to industrial domains. \- Relevant big-company experience on a directly related team, paired with a builder track record. ## Benefits Compensation and benefits \- Base salary: USD 170,000 to 230,000 per year \- Equity Location and work model \- San Francisco, CA, United States \- On-site, 5 days per week \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/FDEBE4CDE4/apply) --- Powered by [Workable](https://www.workable.com)