Staff Engineer AI Agents

Posted: 2026-03-17

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.

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.