OpenAI

2 months ago

AI Systems Engineer, Codex Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Design, build, and maintain the AI systems that power Codex agents in production. You’ll work across low-level systems and ML workflows to debug end-to-end behavior, develop the agent harness, sandboxing and orchestration, and improve reliability, latency, and cost. Collaborate with research, infrastructure, and product to create measurable, trainable harness improvements and enable safe, scalable agent execution.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely.
•Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments.
•Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures.
•Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to improve solve rate, reliability, latency, and cost.
•Improve observability, profiling, and diagnostics across the agent stack, from backend systems to inference, GPUs, and fleet capacity.

Pay and Benefits

Salary: USD 230,000 - 385,000 annually

Equity and Bonus:Equity

Key Requirements

•Experience building or operating production systems in distributed environments, infrastructure tooling, sandboxing, or ML systems.
•Proficiency with Rust and Python, and comfort across systems, APIs, and agent orchestration.
•Hands-on experience with LLM applications, model deployment, inference, and performance optimization.
•Strong focus on reliability, safety, and debuggability with ownership of code and outcomes.
•Ability to diagnose production failures, run experiments, and implement practical fixes across harness, model behavior, and runtime stacks.

Experience:AIMLDistributed systems

Skills:RustPythonAPIsToolingDebugging

Languages:English

Tech Stack:RustPythonGPUsInferenceDistributed systems

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 months ago

AI Systems Engineer, Codex Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

•Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely.
•Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments.
•Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures.
•Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to improve solve rate, reliability, latency, and cost.
•Improve observability, profiling, and diagnostics across the agent stack, from backend systems to inference, GPUs, and fleet capacity.

Pay and Benefits

Salary: USD 230,000 - 385,000 annually

Equity and Bonus:Equity

Key Requirements

•Experience building or operating production systems in distributed environments, infrastructure tooling, sandboxing, or ML systems.
•Proficiency with Rust and Python, and comfort across systems, APIs, and agent orchestration.
•Hands-on experience with LLM applications, model deployment, inference, and performance optimization.
•Strong focus on reliability, safety, and debuggability with ownership of code and outcomes.
•Ability to diagnose production failures, run experiments, and implement practical fixes across harness, model behavior, and runtime stacks.

Experience:AIMLDistributed systems

Skills:RustPythonAPIsToolingDebugging

Languages:English

Tech Stack:RustPythonGPUsInferenceDistributed systems

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor