Design, build, and maintain scalable, high-performance backend systems for a real-time automated order-taking platform. Integrate backends with ML models, client devices, and third-party restaurant systems (POS, payments, loyalty). Monitor and optimize production performance, implement best practices for design, testing, security, and reliability, and collaborate across the team to solve product-wide problems.
About OfOne
At OfOne, we're reshaping the drive-thru experience with voice AI. We’re already helping top-50 restaurant chains operate more efficiently and level-up their customer experience.
We're on the lookout for smart and hungry builders ready to drive into the voice AI scene. We’re offering a chance to deliver software that touches millions of people, pushes $billions of economic impact, and is at the forefront of delivering real-time AI applications to the real world.
We move fast, believe in collaboration over competition, and have the backing of major VCs like SignalFire, Correlation Ventures, and Y Combinator.
If this sounds like a fit, come join us at our office in the heart of SF and let's build something great.
Responsibilities:
- Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform
- Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices
- Monitor and optimize the performance of our backend systems in production environments
- Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms.
- Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments
- Proven track record of building and deploying scalable, high-performance backend systems
- Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design.
- Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment
- Strong communication skills and the ability to work collaboratively with a team
- Willingness to problem solve across our entire product
- Ability to proactively recognize problems and identify solutions to those problems
Nice-to-haves:
- Experience working with audio
- Experience taking a backend system from zero to one
- Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems
- Experience with Kotlin or Java
- Experience with containerization tools, such as Docker and Kubernetes
What we offer:
- Competitive salary and equity package
- Comprehensive benefits package, including health, dental, and vision insurance
- Opportunities for growth and advancement within a fast-paced, innovative startup environment building on the cutting edge
- The chance to make a meaningful impact on an industry ripe for innovation
- Free lunch
Similar Jobs
Artificial Intelligence • Edtech • Machine Learning • Productivity
Lead engineering at a pre-seed GenAI startup: define architecture and tech stack, build the first B2B enterprise SaaS product, set up cloud infrastructure, DevOps and CI/CD, ensure code quality, hire and manage 1-2 engineers, and apply LLM/ML expertise to drive product and business strategy.
Top Skills:
Ci/CdCloud ServicesDevOpsGenerative AiLlm ApisMachine Learning
Artificial Intelligence • Computer Vision • Machine Learning • Software
Own and build core backend and infrastructure for document intelligence and VLM workflows. Architect, deploy, and scale high-throughput, low-latency production systems; manage deployments, monitoring, reliability, CI/CD, and enterprise cloud/on-prem environments. Turn research prototypes into production and support enterprise deployments.
Top Skills:
AWSAzureC++DockerGCPHelmKubernetesMicroservicesPulumiPythonRedisRustTerraform
Artificial Intelligence • Software
As a founding backend engineer, you will prototype AI systems, lead architectural decisions, and ensure code quality while collaborating with experts across industries.
Top Skills:
AICobolCompilersHigh-Performance ComputingMainframeProgram Analysis Techniques
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


