Founding Software Engineer

Posted Yesterday
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San Francisco, CA, USA
In-Office
170K-230K Annually
Junior
Professional Services • Consulting
The Role
Own the full-stack product and AI engineering, building backend services, data storage, APIs, application layers, real-time media pipelines, and AI workflows from prototype to production. Develop evaluation tooling, internal automation, and hardware integrations while operating as a backend-leaning generalist. Collaborate with founders, support go-to-market decisions, and help recruit engineers. The role requires on-site work five days per week in San Francisco.
Summary Generated by Built In

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

Skills Required

  • Approximately one to three years of engineering experience
  • Experience putting AI-driven or multimodal products in front of real users
  • Ability to own a real-time media pipeline end to end, including low-latency streaming, media capture, or low-latency model serving
  • Early-stage startup experience reaching production or experience in a demanding, high-ownership engineering culture
  • Backend-leaning full-stack experience building databases, APIs, and application layers on a modern cloud stack
  • Experience connecting physical devices to software, such as wearables, cameras, robotics, IoT, or drones
  • Systems-language experience, including profiling and working within memory and power constraints
  • Strong computer science or engineering background, or equivalent shipping experience
  • Active use of current AI tools
  • Willingness to work on-site five days per week in San Francisco
  • Computer vision, wearable, or augmented reality product experience
  • Edge or on-device inference deployment experience
  • On-premises or air-gapped deployment experience in high-security environments
  • Device and firmware fluency, including embedded Linux or device SDKs
  • Founder background or industrial-domain experience
  • Relevant big-company experience on a directly related team combined with a builder track record
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The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

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