Full Stack Engineer, Business Applications & AI

Chowbus is a leading Asian restaurant technology SaaS platform, with deep roots in the North American market for years. Currently, we stand as a pioneering enterprise in the North American Asian Restaurant SaaS sector. Driven by precise market positioning and efficient product services, our business has achieved doubled growth annually, covering over 30 core states and 100 key cities across the U.S., and partnering with more than 10,000 Asian restaurants. We build tech ecosystems that help restaurants grow, serve with heart, and uplift their communities, our vision is to creat a world where culturally rooted food entrepreneurs thrive everywhere.

We’re hiring an engineer to help build the customer lifecycle project, a high-priority platform that streamlines and scales our internal business workflows, from restaurant onboarding to customer success to sales and technical operations.

The customer lifecycle project is moving fast, with major launches planned over the next several months. You’ll be an early member of the team, reporting to the Staff Engineer who leads the platform. You’ll work directly with business stakeholders, own features end to end, and help bring practical AI capabilities into everyday workflows.

This role suits someone who wants real ownership, short feedback loops with users, and hands-on experience building AI agents in production.

• Design, build, and operate backend services that power onboarding, customer success, and sales workflows
• Work with onboarding, operations, and sales teams to understand problems, clarify requirements, and deliver improvements from idea to launch
• Design data models and APIs that stay reliable as business needs change
• Build integrations with Salesforce and other business systems, handling authentication, permissions, data sync, and failure cases
• Build AI-powered workflows that connect models with tools and APIs to retrieve information, assist users, and complete tasks with appropriate human review
• Contribute across the stack, including frontend work, as the project requires
• Use coding agents to speed up implementation, testing, and debugging, while reviewing and verifying everything you ship
• Write automated tests, take part in code reviews, and support services in production

• 3–5 years of software engineering experience (a strong trajectory matters more than the exact number)
• Proficiency in Java or Go
• Experience building and running backend services in production
• Solid backend system design skills: APIs, data modeling, reliability
• The ability to work independently, own features end to end, and make progress when requirements aren’t fully defined
• Practical experience with AI coding assistants or agents, including reviewing generated code and catching mistakes
• Clear professional English for working with US-based technical and business colleagues
• Curiosity and the ability to get productive quickly with unfamiliar technologies

• Experience building AI agents or LLM-powered applications (tool calling, structured outputs, evaluations, human-in-the-loop workflows)
• Mandarin proficiency, especially for technical discussions with teammates
• Experience with customer lifecycle systems such as onboarding, CRM, or customer success tools
• Vue, PostgreSQL, Salesforce, AWS, or Kubernetes
• Experience building internal tools or restaurant technology
• Bilingual in English and Chinese preferred