Senior Agent Engineer

About the Role

What You'll Do

What We're Looking For

Compensation & Benefits

Location

• On-site in Palo Alto, California, United States.

Qualifications

• At least 5 years building and operating production software systems end to end.
• Strong Python proficiency and hands-on experience with Django, APIs, React, and TypeScript.
• Experience building agent systems, including 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, including analysis across prompts, model outputs, application code, databases, and APIs.
• Experience improving complex systems based on production signals, and comfort working 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.
• Compensation & Benefits
• Visa sponsorship is not available.
• Location
• On-site in Palo Alto, California, United States.

Responsibilities

• Evaluate advances in reasoning, planning, memory, tool use, and agent collaboration to identify useful product opportunities.
• Translate promising 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 capabilities across Python and Django services, APIs, React and TypeScript interfaces, data models, background jobs, observability, and production operations.
• Improve latency, cost, reliability, and safety, using production traces and user feedback to diagnose and address issues.
• Partner with evaluation and quality teams to define expected behavior and turn findings into engineering improvements.
• Shape technical direction, build maintainable platform abstractions, and contribute to design reviews.
• At least 5 years building and operating production software systems end to end.
• Strong Python proficiency and hands-on experience with Django, APIs, React, and TypeScript.
• Experience building agent systems, including 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, including analysis across prompts, model outputs, application code, databases, and APIs.
• Experience improving complex systems based on production signals, and comfort working 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.
• Visa sponsorship is not available.
• On-site in Palo Alto, California, United States.