Senior Software Engineer, Full-Stack (Agents)

Owner

$210K — $230K *
US-Anywhere
+ 3 other locationsRemote
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience, specifically with LLM-powered or agentic features.
  • Proficiency in tool calling, prompt engineering, and agent loops with LLM as a core component.
  • Experience with evaluation frameworks and observability for non-deterministic systems.
  • Full-stack engineering capability, able to switch between backend, tool design, and conversational UI.
  • Strong cross-functional collaboration skills with positive feedback from past colleagues.
  • Proactive problem-solving skills and strong ownership mentality.

Responsibilities

  • Own agent surfaces from integration and design to backend orchestration and UI.
  • Contribute to the shared agent platform, improving tool abstractions and chat persistence.
  • Shape the technical direction of the agent architecture and framework choices.
  • Make trade-offs regarding latency, cost, and reliability for agents in production.
  • Enhance agent quality through evaluations and iterative patterns for engineering teams.

Benefits

  • Comprehensive health coverage.
  • Remote-first workplace flexibility with work-from-anywhere.
  • Unlimited PTO policy plus additional fun perks.
Full Job Description
Job Title

Senior Software Engineer, Full-Stack (Agents)

Where we work

Owner 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 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


Compensation and 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
  • Other benefits include comprehensive health coverage, work from anywhere (remote-first workplace), unlimited PTO - plus extra fun perks!


Notice - Employment Scams

Communication from our team regarding job opportunities will only be made by an Owner team member with an [redacted].com email address.

We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as "phishing" or "spam" and do not respond.

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