Applied AI Engineer

About the Company

Arcade is building the infrastructure that allows AI agents to safely take real-world actions at enterprise scale. We are moving beyond chat boxes to create the actions runtime that powers the next generation of AI applications.

Responsibilities

• Design and ship agentic tools that go beyond deterministic API wrappers
• Build agent harnesses that automate tool creation from vendor APIs
• Design workflows that compose individual tools into higher-level customer outcomes
• Apply ML rigor to tool design including evals, retrieval, and response shaping
• Run model-aware experiments across frontier models like Claude, GPT, and Gemini
• Contribute to the MCP and broader agent ecosystem

Requirements

• 5+ years of software engineering experience
• 2+ years shipping production ML or applied-AI systems
• Strong proficiency in Python
• Deep experience with LLM applications, prompting, and agent design
• Experience designing multi-tool or multi-agent workflows
• Proven ability to build measurement systems and evals at scale
• Fluency in statistics, including significance and A/B test design
• Ability to thrive in an ambiguous, fast-paced shipping environment

Preferred Qualifications

• Experience building codegen agents or meta-agents
• Prior work on tool-use benchmarks (BFCL, τ-bench, ToolBench)
• Familiarity with the MCP ecosystem
• Experience with agent frameworks like LangChain, CrewAI, or AutoGen
• Background in API platforms, integrations, or developer tools