About the Role
You will build and ship AI-powered agent systems for internal workflows and decisions. You will design inference pipelines, prototype and productionize agent behaviors, architect backend services that integrate with APIs and data sources, establish safe and observable execution patterns, and improve system reliability as usage grows.
Requirements
•5+ years of experience building and shipping production software systems
•Backend engineering expertise in APIs, distributed systems, data modeling, and reliability
•Experience building fullstack systems
•Production experience with AI/ML systems, LLMs, or inference pipelines
•Ability to prototype rapidly while maintaining production-grade architecture
•Ability to reason about orchestration, failure modes, and observability
Responsibilities
•Build and ship AI-powered agent systems for internal workflows and decision paths
•Design and implement inference pipelines across internal systems
•Prototype agent behaviors and productionize valuable solutions
•Architect backend services integrating internal APIs and data sources
•Define safe, observable, and controllable agent-execution patterns
•Identify high-leverage automation opportunities with cross-functional partners
•Improve system speed, reliability, and signal quality
•Contribute to foundational agent-platform design decisions
Benefits
•Equity
•Bonus program
•Wellness allowance
•Medical insurance
•Dental insurance
•Vision insurance
•401(k)
Hiring Process
Job-related skills or work-style assessments may be requested; results are considered alongside experience and interviews.
