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Arcade AI

Distributed Systems Engineer

San Francisco, CA$200k–$300kfulltimemidAdded 1 month ago

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.)
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Arcade AI

Arcade AI builds infrastructure that enables AI agents to take real-world actions by connecting language models to tools, integrations, and workflows. The company is hiring Applied AI Engineers, Solutions Architects, and Distributed Systems Engineers to design agentic tools, enterprise architectures, and scalable runtime systems.

View all jobs at Arcade AI

Likely interview questions

  • Walk us through a complex distributed system you've built at scale. What were the key challenges around consistency, reliability, and performance?
  • Describe your experience designing and maintaining production APIs. How do you approach versioning, backward compatibility, and handling breaking changes?
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