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AI Specialist

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Job Description - AI Specialist

Description

We’re hiring an AI Engineer to build and deploy production-grade AI agent systems that replace manual, judgment-heavy workflows.

This is a pure IC role focused on one thing: using Claude and modern agent tooling to automate complex operational processes end-to-end.

You’ll join an established technical team:

  • A Tech Lead who owns the core app and architecture
  • An Automations Specialist who maintains existing workflows (Make, Zapier, GHL, Airtable)
  • You, as the AI specialist, identifying where agent systems outperform traditional automations—and shipping those solutions into production

This is not a prototyping role. You’ll build real systems that run the business.

What You’ll Do

Day to day, you will:

  • Design and ship AI agent workflows end-to-end using Claude API, Agent SDK, and MCP connectors
  • Build custom connectors for platforms without native integrations
  • Audit and upgrade existing workflows (Make, Zapier, GHL, Airtable) by layering AI where it meaningfully improves outcomes (routing, classification, edge cases)
  • Write production-grade Python and TypeScript (Git workflows, tests, evals, observability, staging)
  • Treat prompts as engineered systems (eval sets, versioning, feedback loops)
  • Build lightweight internal tools (Slack handlers, Airtable Interfaces, or Next.js apps on Vercel)
  • Identify and propose new AI opportunities, with clear effort estimates and ROI
  • Stay current with Claude models, Agent SDK updates, and MCP ecosystem developments
  • Coach the Automations Specialist on agent patterns and prompt engineering (no formal management)
  • Document thoroughly: READMEs, architecture notes, and runbooks for maintainability

Example Project

You might:

  • Replace a manual event registration review workflow (~20 mins per registrant) with a Claude-powered agent that:
    • Enriches and verifies applicants (LinkedIn + web data)
    • Qualifies and routes decisions automatically
    • Generates outcome emails
    • Provides a one-click human review interface
    • Logs everything in Airtable
    • Includes test harnesses, monitoring, and runbooks

You own projects end-to-end: from design → production → long-term maintenance.



Requirements

  • Have shipped real AI agent systems in production (not just demos or experiments)
  • Work hands-on with Claude (Anthropic) and modern agent tooling
  • Think in evals, not vibes — you measure and iterate systematically
  • Are strong in Python and/or TypeScript
  • Understand automation ecosystems (Make, Zapier, APIs, webhooks, data pipelines)
  • Can balance speed and engineering rigor
  • Communicate clearly with both technical and non-technical stakeholders

Nice to Have

  • Experience with MCP (Model Context Protocol)
  • Background in workflow automation or RevOps systems
  • Familiarity with Airtable, Slack APIs, Next.js, Vercel
  • Experience building internal tools or reviewer interfaces
Original job AI Specialist posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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