Software Engineer, Enterprise AI Platform

Neura Market; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI in San Francisco is seeking an Enterprise Applied AI Engineer to build internal apps for enterprise operations and the shared platform components those apps run on. You will craft MCP connectors, multi-agent workflows, data architectures, evals and monitoring, with a focus on reliability and governance.

You will translate ambiguous business workflows into scalable internal products and reusable infrastructure, collaborating with system and business owners to ensure compliance and secure,

Qualifications

• Hands-on engineer with strong Python and backend services.
• Experience with enterprise integrations and data architecture.
• Ability to design end-to-end multi-agent workflows.
• Familiarity with governance, auditability, and security.

Responsibilities

• Build internal apps for enterprise operations across Finance, People, and GTM.
• Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries.
• Create reusable infrastructure, patterns, and components for other teams.
• Partner with system owners and business owners to turn messy enterprise workflows into reliable internal products.

Skills

Python engineering

System design

Enterprise integrations

Data architecture

Applied AI

Agent workflows

Eval harnesses

Backend services

Communication with stakeholders

Tools

MCP connectors

APIs

Job description

About the Team

Business Systems / Enterprise Platform Technology builds the internal systems, data foundations, workflow infrastructure, and enterprise platforms that help OpenAI operate at scale. The EPT AI Pod builds AI-native internal apps, MCP connectors, multi-agent workflows, and reusable platform capabilities across Finance, People, and GTM.

About the Role

As an Enterprise Applied AI Engineer, you will build internal apps for enterprise operations and the shared platform components those apps run on. This includes MCP connectors, multi-agent orchestration, data architecture, evals, monitoring, auditability, and governance.

We’re looking for a hands‑on engineer who is strong in Python, system design, enterprise integrations, data architecture, and applied AI systems. You should be excited to turn ambiguous business workflows into reliable internal products and shared infrastructure.

In this role, you will

• Build internal apps for enterprise operations across Finance, People, and GTM
• Build MCP connectors and enterprise integrations with strong auth, 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 evals, monitoring, metrics, and regression tests for agentic workflows
• Create reusable infrastructure, patterns, and components that other enterprise teams can build on
• Partner with system owners and business owners to turn messy enterprise workflows into reliable internal products

You might thrive in this role if you:

• Have strong Python engineering skills for backend services, MCP connectors, agent/tool workflows, eval harnesses, and data ingestion jobs
• Have strong system design skills across shared infrastructure, app architecture, reliability, and scaling
• Have experience building internal apps, backend services, APIs, workflow systems, or integration platforms
• Understand enterprise systems, including controls, approvals, auditability, compliance, and permissions
• Have practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs, or multi‑agent workflows
• Have strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governance
• Communicate clearly with technical stakeholders, system owners, and business owners
• Take 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. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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