Software Engineer, Full-Stack (Agents)

Owner is an AI-native system designed to help local business owners, starting with restaurants, succeed by replacing multiple tools with a comprehensive platform. The Software Engineer, Full-Stack (Agents) will be responsible for building agent features that enable restaurant owners to manage their businesses through natural conversation, shaping the architecture and products from the ground up.

Responsibilities:

• 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

Requirements:

• 3+ 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
• 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