Distributed Systems Engineer
Arcade is an enterprise AI-agent actions runtime for governing, authorizing, executing, and auditing agent tool calls.
Funding history
About Arcade
Arcade AI, Inc. provides runtime infrastructure that lets AI agents securely access business systems under user-specific permissions, with policy enforcement, tool execution, and centralized auditability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate backend infrastructure for AI and LLM tools. You will design, test, and deploy secure, high-performance production software; develop SDKs and frameworks; and create integrations with major platforms and LLMs. You will help advance tool-calling and authorization standards, shape the roadmap, and share your work with customers and the community.
Requirements
- 7+ years of software engineering experience
- 5+ years of backend development experience
- 2+ years of infrastructure and deployment experience
- Python, Go, Ruby, TypeScript, or similar language
- API and web framework experience
- AWS, GCP, Terraform, or Helm
- Production API experience
- Clean, documented, well-tested code
- Developer tools or SDK experience
- LLM and AI framework familiarity
- Distributed systems experience
- React
Responsibilities
- Build infrastructure for the AI tools backplane
- Design, build, test, and deploy secure production software
- Develop SDKs and frameworks for custom tools
- Help set standards for tool calling and authorization
- Create integrations with major platforms and LLMs
- Shape the team roadmap
- Build AI-enabled delivery leverage
- Share work with customers and the community
Benefits
- Equity
- Benefits