AI Platform Engineer — Production Agent Systems & Observability

build; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Ownership of foundational systems

Work on hard engineering problems

Exceptional team collaboration

Meaningful equity in the company

Job summary

Build is seeking an AI engineer to enhance the infrastructure for their agentic platform. This hands-on role involves building reliable, observable systems for high-stakes real-world workflows in a fast-paced environment. Candidates should be experienced in backend systems, Python, and AI platforms.

Join us to shape technology that transforms workflows in the built world, ensuring systems are robust, scalable, and safe.

Qualifications

• Deep experience with backend systems and distributed systems.
• Fluency in Python and designing reliable APIs.
• Experience with LLM APIs, structured outputs, and agent frameworks.

Responsibilities

• Build the core agent platform for AI workflows.
• Design infrastructure for long-running agents and tool orchestration.
• Create evaluation infrastructure for agent behavior.
• Improve the reliability of LLM-powered systems.
• Define engineering standards for production agent systems.

Skills

Systems engineering

Backend systems

Distributed systems

Data systems

Observability

Developer platforms

Python

Education

Experience in AI systems

Background in engineering

Tools

LLM APIs

Workflow engines

AI observability tools

Job description

Build is seeking an AI engineer to enhance the infrastructure for their agentic platform. This hands-on role involves building reliable, observable systems for high-stakes real-world workflows in a fast-paced environment. Candidates should be experienced in backend systems, Python, and AI platforms.

Join us to shape technology that transforms workflows in the built world, ensuring systems are robust, scalable, and safe.