About the Role
Join our dynamic Agent Systems team, where you will have the opportunity to build and ship cutting-edge AI-powered agent systems that significantly enhance our internal workflows and decision-making processes. This role presents an exciting challenge at the forefront of engineering, integrating AI with backend systems to streamline operations and improve organizational efficiency. You will collaborate closely with cross-functional partners across product, infrastructure, and internal operations to create agent-driven capabilities that deliver compounded leverage across the organization.
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Key Responsibilities
- Build and ship AI-powered agent systems that automate internal workflows and decision paths.
- Design and implement inference pipelines that reason over user interactions across internal systems.
- Rapidly prototype to validate agent behaviors, and then productionize the solutions that prove valuable.
- Architect backend services that integrate with multiple internal APIs and data sources.
- Define patterns for safe, observable, and controllable agent execution.
- Collaborate cross-functionally to identify high-leverage automation opportunities.
- Improve system speed, reliability, and signal quality as usage scales.
- Contribute to foundational design decisions for a 0→1 agent platform.
Skills You Should HODL
- 5+ years of experience building and shipping production software systems.
- Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability).
- Experience building full-stack systems, comfortable working across backend and occasional frontend surfaces.
- Hands-on experience with AI/ML systems, LLMs, or inference pipelines in production.
- Ability to prototype rapidly while ensuring a clear path to production-grade architecture.
- Strong systems thinking — able to reason about orchestration, failure modes, and observability.
- Comfort operating in ambiguous, 0→1 environments with high ownership.
Nice to Haves
- Experience building or operating agent-based systems or autonomous workflows.
- Familiarity with prompt engineering, evaluation frameworks, or model performance tuning.
- Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.).
- Background in building developer platforms or internal tooling.
- Experience designing guardrails, sandboxing, or safety layers for AI systems.
Additional Information
- Applications are accepted on an ongoing basis unless a specific deadline is stated.
- Applicants may redact personal information regarding age, date of birth, or educational attendance dates on resumes.
- Qualified applicants with criminal histories are considered for employment in compliance with the San Francisco Fair Chance Ordinance.
Commitment to Diversity and Inclusion
We celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. Hiring decisions are based on merit, and we encourage applications from individuals who may not meet all listed requirements but are passionate about this field.
As an equal opportunity employer, discrimination or harassment of any kind, based on protected characteristics as outlined by applicable laws, will not be tolerated.
