Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
Audit
Communication @ 3
Compliance @ 3
Python @ 6
RAG @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Business Systems / Enterprise Platform Technology builds internal systems, data foundations, workflow infrastructure, and enterprise platforms that help OpenAI operate at scale. The EPT AI Pod builds AI-native internal applications, MCP connectors, multi-agent workflows, and reusable platform capabilities across Finance, People, and GTM.
As an Enterprise Applied AI Engineer, you will build internal applications for enterprise operations and the shared platform components those applications run on. This includes MCP connectors, multi-agent orchestration, data architecture, evaluations, monitoring, auditability, and governance.
Responsibilities
- Build internal applications for enterprise operations across Finance, People, and GTM.
- Build MCP connectors and enterprise integrations with strong authentication, permissions, idempotency, retries, and rate-limit handling.
- Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries.
- Design data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governance.
- Build evaluations, monitoring, metrics, and regression tests for agentic workflows.
- Create reusable infrastructure, patterns, and components for other enterprise teams.
- Partner with system owners and business owners to turn complex enterprise workflows into reliable internal products.
Requirements
- Strong Python engineering skills for backend services, MCP connectors, agent and tool workflows, evaluation harnesses, and data ingestion jobs.
- Strong system design skills across shared infrastructure, application architecture, reliability, and scaling.
- Experience building internal applications, backend services, APIs, workflow systems, or integration platforms.
- Understanding of enterprise systems, including controls, approvals, auditability, compliance, and permissions.
- Practical AI systems experience with retrieval-augmented generation (RAG), evaluations, monitoring, MCP or tool use, structured outputs, or multi-agent workflows.
- Strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governance.
- Clear communication with technical stakeholders, system owners, and business owners.
- High ownership in ambiguous, cross-functional environments.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company is an equal opportunity employer and is committed to providing reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law.
Benefits
- Base salary range of $230,000–$385,000, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for health, dependent care, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid company holidays, office closures, and applicable sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.