6 months ago
Base Salary
$180 - $220/yr
Responsibilities
- Own end-to-end software projects across full-stack web applications, agentic AI solutions, PMS and CRM integrations, infrastructure, and internal tooling.
- Architect, build, deploy, and maintain production AI agents across their full lifecycle.
- Define technical patterns and standards for software development across the engineering organization.
- Strengthen onboarding and configuration systems, integration frameworks, and AI performance analytics infrastructure.
- Partner with executive and product leadership to translate product vision into delivery and make technical trade-offs.
- Own system reliability, observability, monitoring, testing, error handling, tracing, and continuous improvement.
- Work across backend services, LLM orchestration, integrations, data pipelines, and frontends.
- Improve legacy code and establish scalable architectural foundations.
- Translate product and operations needs into intelligent automated workflows.
Requirements
- 5+ years of software engineering experience, including work across the stack and with distributed systems.
- Experience working with frontends, backends, infrastructure, and databases without relying on specialist handoffs.
- Strong proficiency in Python and/or TypeScript.
- Ability to independently drive ambiguous projects from problem definition through production deployment.
- Ability to communicate complex technical architectures to non-technical stakeholders.
- Experience designing and shipping AI solutions in production that real users depend on.
- Experience building reliable and observable systems with tracing, error handling, fallback strategies, monitoring, and testing.
- Preferred: startup or high-growth company experience and comfort iterating quickly in production.
- Preferred: AWS, Terraform, infrastructure, and DevOps experience.
- Preferred: self-serve platform or integration infrastructure experience.
- Preferred: workflow automation or business process orchestration experience.
- Preferred: telephony integrations such as Twilio and voice-capable agents or chatbots.
- Preferred: speech-to-text, text-to-speech, or real-time audio streaming experience.
- Preferred: classical machine learning, including supervised or unsupervised learning, feature engineering, model training, and evaluation.
Benefits
- Remote-friendly work arrangement with required overlap from 8:00 AM to 3:00 PM Pacific Time.
- Competitive compensation package with meaningful early-stage equity.
- Opportunity to work on production AI agents affecting hundreds of thousands of rental units.
- Series A company backed by Andreessen Horowitz and Y Combinator.
Tech Stack
Categories
