4 hours ago
Palo Alto, CA, USASenior
Responsibilities
- Evaluate advances in reasoning, planning, memory, tool use, and agent collaboration to identify product opportunities.
- Translate model behaviors and user needs into reusable skills and dependable workflows.
- Build and evolve Python agent systems, including execution loops, orchestration, context management, structured outputs, retries, and error recovery.
- Design integrations with email, calendars, messaging platforms, browsers, documents, CRMs, and other business software.
- Own full-stack capabilities across services, interfaces, data models, background jobs, observability, and production operations.
- Improve latency, cost, reliability, and safety using production traces and user feedback.
- Partner with evaluation and quality teams to define expected behavior and implement engineering improvements.
- Shape technical direction, build platform abstractions, and contribute to design reviews.
Requirements
- At least 5 years of experience building and operating production software systems.
- Strong Python proficiency and hands-on experience with Django, APIs, React, and TypeScript.
- Experience building agent systems involving planning, tool calling, state and context management, structured outputs, retries, and orchestration.
- Experience designing external API integrations and reusable platform abstractions.
- Strong product judgment, systems design, and debugging skills across prompts, model outputs, application code, databases, and APIs.
- Experience improving complex systems using production signals and comfort with ambiguous requirements.
- A degree in engineering or a related field with strong technical fundamentals.
- Evidence of startup-building experience or sustained career progression within an organization.
- Experience with high-volume systems, workflow automation, language models, or production model evaluation is helpful.
Benefits
- On-site work in Palo Alto, California, United States.
- Visa sponsorship is not available.
