Staff Software Engineer, Cloud Infrastructure
About Safari AI
Safari AI's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, Live Venues, QSR's, Retail and beyond. The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading enterprises such as Merlin/Legoland, 7-11, Tanger Outlets, Charlotte Hornets, Calgary Flames, and more. This year, Safari AI's platform will begin to use this data and to suggest to clients how they can optimize their operations to generate higher throughput, more revenue and optimize staff deployment.
Safari AI is venture-funded and expects to raise its Series A in 2026.
Leadership & Culture
Safari AI is co-founded by Ali Vahabzadeh & Kaiwen Yuan, two leaders who have meaningful exits under their belts and have managed large, high-performing Go To Market and Engineering teams. The company is headquartered in Miami with the Engineering team based in Vancouver with some distributed team members.
About You And How You Succeed At Safari AI
You're excited about building a product and creating a market that hasn't been done before. You have a strong bias toward action when you are stuck but are not afraid to ask for help when you need to. You're a high agency contributor, eager to test new ways of doing things and take advantage of the freedom and culture an early stage startup can afford you. You want to lead the company's engagement with category leaders in a variety of industries, solving some of their biggest challenges.
What you will be working on regardless the roles
- Primary contributor of Safari AI cloud infrastructure
- Practice engineering best practices for system design, coding, documentation and communication
- Work closely with engineering team members and operation team to identify new priorities and communicate it well
- Contribute to engineering development process improvements
- Set technical direction for cloud infrastructure stack
What you must have
- previous startup founding team (founder or founding engineer) experiences
- depth belief in our mission and strong enthusiasm in AI / data
- 5-8 years software individual contributor experiences
- proficiency in AWS or at least one of the following public cloud: GCP/Azure
- proven record of leadership on building a complex service from scratch to production
- experiences in delivering incremental features and maintaining reliabilities of a production service
- good understanding in best practices in software development lifecycle (SDLC) and security compliance
Nice-to-Haves
- proven experiences of building a team and mentoring skills
- streaming processing service experiences
- machine learning engineering experiences
What we provide
- Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision
- Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
- Competitive salary and meaningful equity for early team members
- Unlimited vacation days
- Generous health benefits (Health, Vision, Dental)
- 401k for US team members
- Brand new, top of the line hardware and whatever else you need to help you win
We are not considering any agent/agency and only matched candidates will be reached out.
!!! Very Important !!! Please send us your code or piece of work, if you are interested in this position and you will not be reached out otherwise.
Why bet on Computer Vision and Safari AI?
- Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
- Already the market leader in enterprise CV by working with industry leaders with billions in revenue
- Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
- Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
- Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
- Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale