Senior Software Engineer, Full-Stack (Agents)

About the role

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.

Responsibilities

• Own an agent surface 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

Requirements

• 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

Qualifications

• 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

Skills

• Experience with React, TypeScript for frontend development
• Experience with Node.js, TypeScript for backend development
• Experience with MongoDB and Postgres for databases
• Experience with Datadog for observability

Benefits

• The estimated starting base salary range for this role is $210K-230K depending on level, location and experience, plus a generous pre-IPO equity package
• Comprehensive health coverage
• Work from anywhere (remote-first workplace)
• Unlimited PTO - plus extra fun perks!

Pay

The estimated starting base salary range for this role is $210K-230K depending on level, location and experience, plus a generous pre-IPO equity package.

Schedule

This role is 100% remote and can be based anywhere in the United States or Canada.