Arcade
AI
AppliedAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied AI Engineer at Arcade. Skills: Applied AI, Agentic Tools, LLM Applications, Software Engineering. Design and ship agentic tools. define patterns for tool building”
What You'll Achieve.
solve higher-level problems; produce a high-quality toolkit end-to-end; higher-level abstractions customers can point at outcomes; Make decisions defensible with data; ship the experiment and writeup in same quarter
Industry & Context.
make good decisions with incomplete data; reasoning about behavioral differences
What They're Looking For.
Must Have
5+ years software engineering experience, at least 2 years shipping production ML or applied-AI systems, Python, LLM application depth, prompting, retrieval, tool use, agent design, built non-trivial agent systems, Experience designing or composing multi-tool / multi-agent workflows, built evals at scale, measurement system real engineering decisions were made against, Statistics fluency, significance, confidence intervals, A test design, Comfort across multiple frontier models, reasoning about their behavioral differences, A do-er, Comfort with ambiguity, make good decisions with incomplete data, An insatiable desire to ship
Nice to Have
built agents that build software, codegen agents, harness-style systems, meta-agents, Prior work on tool-use specifically, BFCL, τ-bench, ToolBench, MCP eval work, MCP ecosystem familiarity, filed an issue against the spec, worked on agent frameworks, LangChain, CrewAI, AutoGen, Mastra, Prior experience at an API platform, integrations-heavy product, developer tools company
What You'll Do.
Design and ship agentic tools
define patterns for tool building
Build agent harness for automated tool creation
Design workflows composing tools
Bring applied-ML rigor to tool design
Run model-aware experiments
Set technical bar for tool-building
Contribute to MCP and agent ecosystem
How You'll Work.
Team & Collaboration
Work with product team
Full Job Description
APPLIED AI ENGINEER Everyone's talking about AI. But here's the truth: ChatGPT can't send your emails. It can't book your flights. It can't even order you lunch. Why? Because AI is trapped in a chat box. It can't take real actions in the real world. We are changing that forever. We're not just building another AI company - we're creating the infrastructure that will power every AI application you'll use in the future. The Revolution Needs You Every AI app needs agentic "tools" - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the actions runtime that allows AI agents to safely take real-world actions at enterprise scale. As an Applied AI Engineer on the Tools team, you'll push the boundary of what "a tool" even means at Arcade — designing agentic tools that go beyond deterministic API wrappers, building agents that build new tools, and composing tools into workflows that solve higher-level problems. Why This Is The Opportunity of a Lifetime - Founder-Market Fit : Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone. - Dream Team : We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms. - Perfect Timing : We're at the inflection point of AI adoption. The biggest problem isn't better models - it's connecting AI to real-world actions. That's us. - Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building. - Backed By The Bes
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