Member of Technical Staff - Agent Platform (Agent OS)

What you'll do

• Own the dialog and policy engine, including agent state, decision logic, safety policies, and guardrails.
• Build distributed context and memory systems and production agent orchestration using RAG, ReAct, tools, and stateful workflows.
• Develop platform frameworks, voice and integration infrastructure, and observability and reliability capabilities.

What they ask for

• 3+ years of hands-on backend engineering and distributed systems experience, including ownership of platforms or frameworks used by other engineering teams.
• Hands-on experience building or operating production-grade agentic systems with LLM orchestration, complex tool interactions, and stateful workflows.
• Working knowledge of orchestration frameworks and design patterns such as RAG, ReAct, and multi-step planning.
• Practical understanding of distributed systems, concurrent programming, reliability in multi-tenant cloud environments, framework development, and security-sensitive systems.

Nice to have

• Experience with conversational AI platforms, agent frameworks, or production workflow engines; or real-time media systems.
• Experience with high-stakes enterprise platforms or techniques such as federated learning, on-device personalization, or adaptive policy systems.

Pay

USD 150,000–400,000 per-year-salary (base salary)

Tools

LangChain, LlamaIndex, RAG, ReAct, MCP/A2A

AI focus

Build production agentic systems and orchestration; explore on-device personalization, privacy-preserving federated learning signals, and policy adaptation.