Agent Engineer

14 hours ago

Palo Alto, CA, USASenior

Responsibilities

Investigate agent technology developments and identify product opportunities.
Translate model behaviors into reusable skills and workflows for user needs.
Build and improve Python agent infrastructure for orchestration, context management, structured outputs, retries, and error recovery.
Design tools and integrations for email, calendars, messaging, browsers, documents, CRMs, and business software.
Own agent, service, interface, data, background-job, observability, and production-operation capabilities.
Create reusable platform abstractions and guide technical decisions on ambiguous problems.
Improve agent execution latency, cost, reliability, and safety.
Use evaluations, production traces, and user feedback to diagnose issues and drive engineering improvements.

At least 5 years of experience building production software systems end to end, including deployment and operational iteration.
Strong Python skills and hands-on experience with Django, APIs, React, and TypeScript.
Experience building or operating agent systems involving planning, tool calling, structured outputs, context and state management, retries, and orchestration.
Experience designing integrations with external APIs and business software.
Ability to turn loosely defined user needs and emerging technologies into practical product features.
Experience owning complex production systems, including observability, debugging, and improvements based on production signals.
Ability to design reusable platform abstractions and diagnose issues across prompts, model outputs, application code, databases, and APIs.
Background in LLMs, prompt engineering, or production model evaluation is useful.
Experience optimizing high-volume systems for latency, cost, and reliability is useful.
Demonstrated career progression within an organization or experience founding a startup, along with strong engineering fundamentals.