[Remote] Staff Engineer AI Agents

Note: The job is a remote job and is open to candidates in USA. Zuma is pioneering the future of agentic AI in property management, developing AI agents that autonomously manage interactions for property managers. The Staff Engineer AI Agents will shape the future of property management by designing workflows that integrate human and AI collaboration, while owning end-to-end projects across software development, including AI solutions and system reliability.

Responsibilities

• Own E2E projects that cross all areas of software development including full stack web apps, agentic AI solutions across multiple work activities, extensive integrations with PMS and CRM systems, infrastructure, and internal tooling
• Architect, build, and deploy production AI agents using modern agent frameworks, owning the full lifecycle from design to reliability in production
• Define the technical patterns and standards for how software is built across the engineering org — you will be setting the playbook others follow
• Strengthen our core systems — including our onboarding/configuration system, integration frameworks, and AI performance analytics infrastructure
• Collaborate directly with the VPE and product leadership to translate product vision into delivery, making high-stakes technical trade-offs with confidence
• Own system reliability, observability, and continuous improvement — defining how we measure, monitor, and iterate on our agents and web products in production
• Work across the stack (backend services, LLM orchestration, integrations, data pipelines, frontends) to ship agents and products that are robust and scalable
• Tame legacy code and lay down new foundations — patterns and architecture you create will be inherited by the engineers who come after you
• Be a close partner to the product and operations teams, turning their domain needs into intelligent automated workflows without requiring domain expertise upfront

Skills

• 5+ years of software engineering experience with a track record of working up and down the stack including distributed systems
• Comfortable working on frontends, backends, infrastructure, and databases. You'll deliver the solution regardless of what's needed, no anticipation of handoff to a different specialist
• Strong proficiency in Python and/or TypeScript — the languages of our stack
• Ability to work across ambiguity and drive projects from problem definition through production deployment independently
• Clear, direct communicator who can translate complex technical architectures for non-technical stakeholders
• Experience designing and shipping AI solutions in production — not just prototypes. You've owned AI systems that real users depend on
• Experience building reliable, observable systems: tracing, error handling, fallback strategies, monitoring, and testing
• Remote friendly but needs to fully overlap with core working hours of 8am - 3pm Pacific Time
• Prior experience at a startup or high-growth company; comfort shipping fast and iterating in production
• AWS experience with IaC (Terraform) and comfort working with infrastructure / dev ops
• Background in building self-serve platforms or integration infrastructure
• Experience with workflow automation platforms or business process orchestration
• Experience with telephony integrations (Twilio or similar) and building voice-capable agents or chatbots across text and voice channels
• Familiarity with speech-to-text, text-to-speech, or real-time audio streaming pipelines in production AI systems
• Classical ML experience — supervised/unsupervised learning, feature engineering, model training and evaluation outside of LLM contexts

Benefits

• Competitive compensation package including meaningful early-stage equity.
• Remote-friendly culture with a bias toward outcomes, not facetime.

Company Overview

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