Senior Software Engineer, Full-Stack; Agents
Listed on 2026-06-02
-
Software Development
AI Engineer, Cloud Engineer - Software, Software Engineer, Full Stack Developer
About Owner
Owner is the AI-native system local business owners use to succeed, starting with restaurants.
We’re building the system that replaces the many tools owners use to run their business.
It powers everything from the restaurant’s website, online ordering, CRM, POS, and more.
Product philosophyMost small business software makes owners do the work to get what they want: sales growth and profit growth. Owner does the work for them agentically.
Our system drives demand, converts it, and helps operators run their business day to day. As it improves, the business improves with it.
Using Owner should feel like having a team of great operators, engineers, and marketers working for you.
Our visionWe’re starting by helping independent restaurants succeed online.
But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive.
Once we nail the solution for restaurants - we’ll scale it into every other local business type.
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age.
Our teamOur team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including:
Shopify, Hub Spot, Door Dash, Service Titan, Rappi, Faire and Stripe.
We’ll be scaling even faster in 2026 to keep pace with our customer growth.
Where we workOwner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location!
Why we're looking for youOwner is the leading all-in-one platform for independent restaurants. Operators use Owner to run their online ordering, websites, menus, marketing, and customer experience. Tens of thousands of restaurants depend on us every day to run their business.
AI Agents at Owner is a team with a singular mandate: build agents that let restaurant owners run their business through natural conversation, everywhere they work with Owner. This is one of the most important strategic bets at Owner, and the team is early enough that you will shape the architecture, platform, and products from the ground up.
We are looking for engineers who have shipped production agentic AI features and are ready to move fast in ambiguity. Your immediate impact: own an agent surface end-to-end. Your longer-term impact: help define what an agent platform at Owner looks like, and set technical direction for the dozen-plus agent surfaces we will build over the next year.
This role is 100% remote and can be based anywhere in the United States or Canada.
Our Tech Stack- Frontend: React, Type Script
- Backend: Node.js, Type Script with Vercel AI SDK
- Databases: Mongo
DB, PostgreSQL - Observability: Datadog, Braintrust / Lang Smith for evals
- Own one or more agent surfaces end-to-end, from LLM integration and tool design to backend orchestration, conversational UI, and evals
- Contribute to the shared agent platform: tool abstractions, chat persistence, eval frameworks, RAG, observability, permissioning
- Shape technical direction on agent architecture, framework choice, and model strategy across Owner
- Make thoughtful tradeoffs on latency, cost, and reliability so our agents feel fast and trustworthy in production
- Raise the bar for agent quality through rigorous evals, thoughtful iteration, and patterns other engineers adopt
- 5+ years of software engineering experience, with meaningful time shipping production LLM-powered or agentic features
- Fluency with tool calling, prompt engineering, and agent loops - you have built systems where the LLM is a first-class component, not a bolt-on
- Experience with eval frameworks and observability for non-deterministic systems (Braintrust, Lang Smith, custom eval harnesses, or equivalent)
- Full-stack comfort - you can move between backend…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).