AI Integrations Engineer

Job Description

Tech Stack

• Ruby, Python, and TypeScript/Node for integrations
• Agent and RAG frameworks: LangChain, LlamaIndex, CrewAI
• MCP servers and tools
• Automation platforms: n8n, Make, ActivePieces, Zapier
• The wider agent and workflow ecosystem (n8n, OpenClaw, Hermes, skills, AI workflows)
• GitHub and CI, used daily
  

AI and Automation Are Non-Negotiable

Our customers are AI companies, and this role lives in their world. You need to genuinely care about AI tooling and be obsessed with automation. If you’re doing the same thing twice by hand, you should be automating it. You use these tools daily, not from a tutorial.

What You’ll Do

• Ship merged PRs. Add and improve SearchApi support in the frameworks and repos developers actually use.
• Build integrations and MCP servers. Make it trivial for a developer or an agent to pull search data into their stack.
• Write the glue and the docs. Example apps, integration guides, and quickstarts that just work.
• Stay genuinely current. Track what’s new and hot in the agent and automation space, and move when it matters.
• Find the gaps. Spot where developers and agents need search data and put us there first.

About You

• You ship open source. You have merged PRs in repos you don’t own, not just personal side projects.
• Genuinely current. You can talk about what changed in the agent ecosystem this month and why it matters.
• Fluent across the stack. Comfortable in Ruby, Python, or TypeScript, and at least one agent or automation framework.
• Good writer. Integration docs, PR descriptions, examples. Clear and human.
• Self-directed. You don’t need someone to tell you what to build.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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