Applied AI Software Engineer, GTM Growth Engineering
AI summary of the role
This role owns the production improvement loop for AI-powered GTM workflows at OpenAI, connecting agent behavior, feedback, evaluation, and business outcomes.
What you’ll do
- Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes.
- Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context.
- Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows.
- Design and ship targeted behavior improvements, including changes to prompting, context construction, decision logic, tool use, and human-review paths.
What you’ll bring
- 4+ years of software, backend, applied AI, or product-engineering experience building reliable production systems.
- Experience building AI agents, LLM-powered applications, or other model-driven workflows that operated on real production traffic.
- Practical experience with evaluation design, regression testing, human or model grading, online quality signals, or controlled experiments.
- Strong backend engineering skills across Python, APIs, data pipelines, stateful workflows, and production services.
Technologies
Python · APIs · data pipelines · LLM · AI agents · evaluation · experimentation · backend services · stateful workflows · production monitoring
About OpenAI
Builds frontier AI models (GPT series) and ships them as ChatGPT consumer/enterprise products plus a developer API for the broader AI ecosystem.
Private Late
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