Principal Engineer, Agent Platform

What you'll do

• Design and build core platform services to enable enterprise AI agent development and operations.
• Define the architecture, engineering patterns, and technical standards for the AI agent platform.
• Develop and maintain a centralized model gateway for routing, governance, resiliency, and cost management.
• Build agent runtime capabilities for long-running workflows, orchestration, and human-in-the-loop processes.
• Design secure identity, authorization, and policy enforcement mechanisms for agents and tools.
• Establish platform capabilities for context management, memory, retrieval, and data isolation.
• Create testing, evaluation, and release frameworks to ensure agent quality, safety, and performance.
• Implement observability, auditability, and operational tooling for monitoring and troubleshooting agent behavior.

What we're looking for

• Extensive experience building and operating large-scale distributed systems in production.
• Strong software engineering background with expert-level Python development skills.
• Hands-on experience delivering production LLM, generative AI, or agent-based solutions.
• Deep understanding of agent architectures, orchestration patterns, and enterprise AI platforms.
• Experience with retrieval systems, embeddings, vector search, and context management strategies.
• Knowledgeable in AI evaluation, testing methodologies, and quality assurance for non-deterministic systems.
• Proficient with Google Cloud services including Vertex AI, Gemini, GKE, Cloud Run, BigQuery, and Pub/Sub.
• Experienced with cloud security, workload identity, OAuth, policy-as-code, and secure-by-design architectures.