Careers · Role 01 · Full-time · remote · 6 days · priority

AI Engineer

AI-enable Steve Tan's entire operation from the inside out. Build reliable automations, agents, tools, and workflows across content, media, hiring, operations, finance, reporting, and knowledge management.

Full-timeRemote8 AM · 5 PM IST6 days · Sunday off
Heads upThis is a hands-on implementation role, not a theoretical or research-only role. Claude Code proficiency is non-negotiable, and candidates must show working systems through live links, repositories, recordings, documentation, or verifiable case studies.
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What you'll own

  • Work with department heads and leadership to identify where AI can improve speed, quality, decision-making, and operational leverage.
  • Build and maintain automations, agents, workflows, and internal tools using n8n, Make, Zapier, APIs, webhooks, code, and AI models.
  • Audit processes, map failure points, and design end-to-end AI-assisted solutions rather than isolated demos.
  • Use Claude Code as a core environment for prototyping, debugging, integration, documentation, and shipping.
  • Create SOPs, monitoring, fallback steps, documentation, and training for safe adoption by non-technical teams.
  • Track hours saved, error reduction, turnaround time, quality, adoption, cost reduction, and revenue impact.

What we need from you

  • 5 to 8 years of hands-on AI workflow, automation, internal-tool, or implementation experience.
  • Claude Code proficiency and comfort building, debugging, and shipping with AI-assisted coding.
  • Strong process mapping, logic, API integration, webhook, data-handling, and systems-thinking ability.
  • A proven record of deploying working automations or tools in a real company, team, agency, or client environment.
  • Strong judgement on reliability, security, permissions, failure handling, cost, and maintainability.
  • Clear English communication, ownership, documentation, and cross-functional problem solving.

Core skills

  • AI workflow and agent design, prompt and context engineering, and internal tool development.
  • Automation platforms, API and webhook integrations, data handling, and dashboards.
  • Testing, monitoring, failure handling, documentation, training, and cross-functional implementation.
  • Practical use of Claude, ChatGPT, Gemini, Perplexity, n8n, Make, Zapier, Postman, GitHub, databases, and vector stores.

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AI Engineer · Careers · Steve Tan