Applied AI Engineer for GTM Growth Systems

Fdetimes; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

OpenAI is seeking an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs.

This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure

Qualifications

• 4+ years of software, backend, or product-engineering experience building reliable production systems.
• Experience building AI agents or LLM-powered applications with real production traffic.
• Experience diagnosing agent behavior using production traces, feedback, evaluation, experimentation.
• Strong backend engineering with Python, APIs, data pipelines, and production services.

Responsibilities

• Own the production improvement loop across agent behavior and feedback.
• Instrument agent workflows to enable observability of model interactions and tool use.
• Define quality standards, evaluation datasets, and production monitoring.
• Build backend services and data models to support observable and controllable agent behavior.
• Run controlled experiments and staged rollouts to measure impact.

Skills

Backend engineering

Python

LLM apps

Observability

APIs

Tools

Production systems

Job description

OpenAI is seeking an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs.

This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure