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Sapiom is building an end-to-end platform that removes barriers to shipping and scaling agentic AI products. The platform unifies compute, memory, identity, databases, storage, monitoring, and other infrastructure as a cohesive system rather than requiring developers to assemble disparate tools.
As a Staff AI Platform Engineer, you will 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 technology and company strategy.
Key responsibilities include:
- Architecting the core platform powering AI agents in production
- Designing distributed systems for agent orchestration, execution, memory, tool calling, workflow coordination, and communication
- Building reliable infrastructure enabling AI agents to operate safely and efficiently across enterprise environments
- Leading technical design of foundational platform capabilities, balancing performance, reliability, extensibility, and developer experience
- Driving architecture decisions across backend systems, APIs, infrastructure, and AI runtime services
- Establishing engineering standards for scalability, observability, security, and operational excellence
- Partnering with product and engineering leadership to translate emerging AI capabilities into production-ready features
- Mentoring engineers through design reviews, technical guidance, and hands-on collaboration
- Leading complex cross-functional initiatives from concept through production
Required qualifications:
- 8+ years building large-scale backend systems, distributed systems, or developer platforms
- Operating technical leadership experience at Staff or Principal Engineer level with demonstrated equivalent scope and impact
- Strong programming skills in Python, Go, TypeScript, or similar languages
- Experience building developer platforms, SDKs, or API-first products prioritizing reliability, scalability, and developer experience
- Experience working with modern AI systems including LLMs, tool calling, structured outputs, retrieval, or agentic workflows
- Strong systems thinking and ability to simplify complex technical problems
- 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 includes production AI agent platforms, orchestration frameworks like LangGraph or Temporal, vector databases, LLM serving technologies, and open-source infrastructure contributions.
Sapiom is backed by $15.75M in funding from Accel, Menlo Ventures, and Anthropic. As one of the earliest senior engineers, you'll have significant influence over architecture, engineering culture, and product direction.
