About the RoleAs a Staff AI Platform Engineer, you'll help define the technical direction of the platform from the ground up. You'll architect distributed systems that power AI agents in production, establish engineering best practices, and partner closely with leadership to shape both the technology and the company.
This is an opportunity to join early and have an outsized impact on the architecture, culture, and product strategy of an AI infrastructure company.
What you'll do- Architect the core platform that powers AI agents in production.
- Design distributed systems for agent orchestration, execution, memory, tool calling, workflow coordination, and communication.
- Build reliable infrastructure that enables AI agents to operate safely and efficiently across enterprise environments.
- Lead the technical design of foundational platform capabilities, balancing performance, reliability, extensibility, and developer experience.
- Drive architecture decisions across backend systems, APIs, infrastructure, and AI runtime services.
- Establish engineering standards for scalability, observability, security, and operational excellence.
- Partner with product and engineering leadership to translate emerging AI capabilities into production-ready platform features.
- Mentor engineers through design reviews, technical guidance, and hands-on collaboration.
- Lead complex, cross-functional initiatives from concept through production.
We're looking for someone who has- 8+ years of experience building large-scale backend systems, distributed systems, or developer platforms.
- Experience operating technical leadership at the Staff or Principal Engineer level, or demonstrated equivalent scope and impact.
- Strong programming skills in Python, Go, Typescript, or similar languages.
- Experience building developer platforms, SDKs, or API-first products that prioritize reliability, scalability, and developer experience.
- Experience working with modern AI systems, including LLMs, tool calling, structured outputs, retrieval, or agentic workflows.
- Strong systems thinking with the ability to simplify complex technical problems.
- A track record of driving technical strategy while remaining hands-on.
- Experience with event-driven architectures, workflow engines, or distributed execution systems.
Nice to have- Experience building production AI agent platforms or orchestration frameworks.
- Familiarity with LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, Temporal, or similar orchestration technologies.
- Experience with vector databases, retrieval systems, and knowledge infrastructure.
- Experience with LLM serving technologies such as vLLM, SGLang, or TensorRT-LLM.
- Contributions to open-source infrastructure or AI projects.
