The Role:

We are seeking a highly skilled Staff AI Developer Experience Engineer to architect and build the foundational platform enabling teams across the enterprise to create, deploy, and manage AI agents, applications, and automations. This role sits at the intersection of platform engineering, developer tooling, and generative AI, focused on democratizing AI capabilities through exceptional developer experiences.

Our ideal candidate combines deep platform engineering expertise with hands-on experience in generative AI tooling. You'll design the APIs, SDKs, CLI tools, and workflows that make it effortless for engineering teams to leverage AI capabilities, while ensuring production-grade reliability, observability, and security.

What You Will Do?

Platform Backend & API Development

• Build comprehensive REST APIs and MCP (Model Context Protocol) servers that expose platform capabilities to developers
• Develop robust Python and TypeScript SDKs with intuitive abstractions for agent development
• Ensure feature parity between programmatic interfaces and low-code platform capabilities
• Architect scalable backend services including LLM gateways, knowledge hubs, and tool registries

Developer Experience Optimization

• Design intuitive development workflows and create scaffolding templates that minimize friction from idea to production
• Build reusable workflow components and abstractions for common AI development patterns
• Create comprehensive documentation, tutorials, quickstarts, and example projects that enable self-service adoption
• Build programmatic interfaces for agent creation, testing, deployment, and management
• Champion developer feedback loops and continuously iterate on platform usability based on user research

Observability & Evaluation

• Build and integrate debugging, tracing, and observability tools purpose-built for AI applications
• Implement evaluation frameworks to systematically measure and improve agent quality, reliability, and performance
• Create testing and validation frameworks tailored for AI agent behaviors and LLM-powered workflows
• Design dashboards and analytics that give developers visibility into agent performance and usage patterns

Security & Compliance

• Implement guardrails, content filtering, and safety measures to ensure responsible AI deployment
• Design secure patterns for credential management, API authentication, and data access controls
• Ensure platform compliance with enterprise security policies and data governance requirements

Research & Innovation

• Keep pace with the rapidly evolving AI landscape by experimenting with new models, frameworks, and techniques
• Evaluate emerging standards and tooling to inform platform roadmap and adoption decisions
• Share learnings with the broader team and contribute to the organization's AI strategy and best