AI 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 agent harnesses, sub-agent capabilities, toolkits, and integrations that enable AI agents to perform real-world actions. You will own projects from identifying a job to be done through delivery, improve the existing tool catalog, and develop testing and evaluation systems for agent abilities. You will also help shape emerging MCP ecosystem standards.
Requirements
- 4+ years of software engineering experience shipping production code
- Python or TypeScript
- API integration experience including REST, authentication flows, pagination, and rate limits
- LLM application experience including prompting, retrieval, tool use, or agent design
- Testing and evaluation experience
- MCP ecosystem familiarity
- Go
- ML or AI evaluation systems
Responsibilities
- Build agent harnesses and agents-as-tools
- Own delivery of engine changes, MCP servers, services, and new capabilities
- Build toolkits and abilities from vendor APIs and internal needs
- Maintain and improve the existing tool catalog
- Develop evaluation and testing systems for abilities
- Engage with the MCP ecosystem and evolving standards
Benefits
- Equity
- Benefits