Senior/Staff Software Engineer: Agents

Why we're looking for you

Owner 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, TypeScript

Backend: Node.js, TypeScript with Vercel AI SDK

Databases: MongoDB, PostgreSQL

Observability: Datadog, Braintrust / LangSmith for evals

The impact you'll have

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

What we're looking for

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, LangSmith, custom eval harnesses, or equivalent)

Full-stack comfort — you can move between backend orchestration, tool design, and conversational UI without being blocked by hand-offs

High degree of cross-functional collaboration — past colleagues in product, design, and business would speak highly of your teamwork

Strong sense of ownership and drive, excellent communication, and a proactive approach to identifying and solving problems

Nice to have

Experience with RAG or retrieval systems at production quality

Background in restaurant tech, commerce, or SMB operator tooling

Contributions to open source agent frameworks, evals, or LLM tooling

Experience growing and mentoring engineers on agentic AI patterns