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python apis monitoring data architecture multi-agent workflows📋 Description
- Build internal apps for enterprise operations across Finance, People, and GTM
- Build MCP connectors and enterprise integrations with auth, permissions, retries
- Design end-to-end multi-agent workflows with tool routing and audits
- Design data architecture for operational AI including ingestion, schemas, lineage, governance
- Build evals, monitoring, metrics, and regression tests for agentic workflows
- Create reusable infrastructure and components for other enterprise teams
🎯 Requirements
- Strong Python for backend services, MCP connectors, agent/tool workflows
- Strong system design across shared infra, app architecture, reliability, and scaling
- Experience building internal apps, backend services, APIs, workflow systems, or integration platforms
- Understand enterprise systems, including controls, approvals, auditability, compliance, and permissions
- Practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs
- Strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governance
🎁 Benefits
- Equal opportunity employer
- Commitment to safety and AI ethics in deployment
- Reasonable accommodations for applicants with disabilities
- OpenAI privacy policy
- Background checks as required by law
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