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1 day ago
Requirements and responsibilities
Pinterest is looking for a Staff Software Engineer, AI Tools to build the secure infrastructure that enables enterprise AI assistants like Claude, Glean, Granola, and future AI platforms to interact safely with internal systems such as Google Workspace, Slack, Atlassian, and Microsoft 365.What you'll work onDesign secure AI connectivity using OAuth 2.0/2.1, OIDC, SAML, mTLS, and EnvoyBuild and maintain Model Context Protocol (MCP) servers that expose internal enterprise tools to AI applicationsDevelop backend services and automation using Python, Go, Java, or TypeScriptIntegrate AI platforms with enterprise identity, security, SCIM, DLP, logging, and ITSM systemsLead architecture decisions for AI vendor onboarding and secure enterprise integrationsDrive cross-functional projects involving Security, Infrastructure, Legal, and Engineering teamsMentor engineers while defining long-term technical strategy for enterprise AI adoptionSkills they're looking for7+ years of software engineering experienceStrong backend development (Python, Go, Java, TypeScript)Deep understanding of authentication and authorization protocolsExperience building production APIs and platform integrationsSystems design and distributed systems troubleshootingKubernetes, Terraform, CI/CD, observability (preferred)Familiarity with Model Context Protocol (MCP) and modern AI integration ecosystemsOne detail that stands out is Pinterest's engineering philosophy around AI. Rather than expecting engineers to avoid AI tools, they expect candidates to use AI to accelerate development while taking full responsibility for validating outputs, maintaining security, and ensuring production quality.