Distributed Systems Engineer

About this role

Join an early-stage startup building infrastructure that enables AI agents to take real-world actions by connecting language models to tools and integrations. As a Distributed Systems Engineer, you'll architect the runtime and registry powering the next generation of AI applications, working across backend services, SDKs, and production integrations.

What you'll do

• Design and build high-performance, secure backend infrastructure for AI tool management and execution
• Develop SDKs and frameworks enabling developers to create custom AI tools
• Create production-grade integrations with major platforms (Google Workspace, Microsoft 365, OpenAI, Anthropic)
• Help establish industry standards for AI tool calling and authorization protocols
• Shape team roadmap and mentor other engineers on distributed systems best practices
• Build and ship features with focus on developer experience and usability

What they're looking for

• Backend development (Python, Go, Typescript, or similar) with 5+ years experience
• Infrastructure and deployment (AWS/GCP, Terraform, Helm) with 2+ years experience
• Production API design, development, and maintenance
• Clean code practices with strong testing and documentation
• Developer tool and SDK design
• LLM and AI framework knowledge (LangChain, LlamaIndex)
• Distributed systems architecture
• Open-source development experience

Benefits

• Work on critical infrastructure powering the AI revolution
• Join experienced leadership team with track record (Stormpath/Okta founders and Redis architects)
• Backed by top-tier investors who funded Databricks, MongoDB, Perplexity, and Firebase
• Early-stage startup with significant growth potential and defined market opportunity
• Opportunity to shape industry standards and developer community
• Team of experts from leading platforms (Okta, Redis, Microsoft, Google, etc.)