ArcadeaiVerified Source

AI Engineer Tools Arcadeai

Onsite · San Francisco, California
Posted July 24, 2026
payroll

Overview

Arcadeai seeks a Software Engineer to build and maintain agent toolkits enabling secure AI actions in enterprise systems. Unlike simple demos, our focus is on governance and trust when agents interact with sensitive data. We provide permission slips and audit trails ensuring compliance while scaling to Fortune 100 deployments. This role drives the definitive tools catalog positioning AI as a catalyst for real-world impact.

What You'll Do6

  • 1Build internal agent toolkits using vendor APIs and design clean integration layers
  • 2Maintain and enhance existing catalog fixing breakages and improving response shapes
  • 3Write tests and evaluations proving tool functionality against real API behavior
  • 4Treat LLMs and agents as first-class components tuning tool descriptions and usage
  • 5Contribute to shared patterns and tooling accelerating future toolkit development
  • 6Engage with MCP ecosystem shaping standards for agent tool specifications

Requirements9

  • 14+ years shipping production software with strong Python and TypeScript skills
  • 2Extensive experience building and consuming REST auth flows pagination rate limits
  • 3Proven testing mindset writing tests that catch real failures
  • 4Comfort with ambiguity in early-stage environments with evolving requirements
  • 5Insatiable drive to ship impactful solutions with minimal guidance
  • 6Bonus: LLM application experience prompting retrieval tool use or agent design
  • 7Familiarity with MCP or similar agent-tool protocols preferred
  • 8Open-source contributions and experience at API platform startups valued
  • 9Ability to thrive in a movement transforming AI from chatbots to actionable agents

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationSan Francisco, California

Required Skills

PythonTypescriptREST APIsAuthentication flowsPaginationRate limitingTesting mindsetAmbiguity toleranceLLM application experienceMCP ecosystem familiarity
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