Responsibilities

• Contribute to the core platform infrastructure: the API serving layer, state management, policy enforcement, and execution runtime for agentic workflows — starting with well-scoped components and taking on broader ownership as you grow
• Help build and maintain distributed services that back our model API products, including request routing, rate limiting, and multi-tenant isolation, under the guidance of senior engineers
• Build and maintain pieces of our data pipelines (ETL/ELT) for API logs, usage analytics, and billing, with a focus on data correctness and freshness
• Develop and improve internal SDKs and libraries — writing clean, well-tested code with clear contracts that product teams can rely on
• Support our context and memory systems for conversational workloads: retrieval, caching, and integration with vector stores and retrieval pipelines
• Add observability across the platform — structured logging, tracing, and metrics — and help investigate and resolve reliability issues
• Collaborate with ML and product teams to integrate model serving, voice runtime, and tooling infrastructure, learning how the full stack fits together
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