Software Engineer, Enterprise AI Platform
Core
Build internal apps for enterprise operations and shared platform components including MCP connectors, multi-agent workflows, and data architecture.
Role type
Senior IC Enterprise Applied AI Engineer
Builds
Internal apps for Finance, People, and GTM operations; MCP connectors; multi-agent orchestration systems; reusable platform infrastructure
Domain
Enterprise internal systems, AI infrastructure, multi-agent workflows, data governance
Deliverable
production ML models | product features | infrastructure
Required skills
Python, system design, enterprise integrations, data architecture, applied AI systems, MCP connectors, multi-agent orchestration, evals, monitoring, data lineage
Preferred skills
RAG, structured outputs, human-in-the-loop workflows, auditability, compliance patterns
Technologies
Python, MCP, multi-agent frameworks, data ingestion pipelines, monitoring tools
Responsibilities
Build internal apps for enterprise operations; Develop MCP connectors with auth and idempotency; Design end-to-end multi-agent workflows; Architect data systems for operational AI; Create evals and monitoring for agentic workflows; Build reusable infrastructure components; Partner with stakeholders to define reliable internal products
Seniority
Senior, hands-on IC
