AI Specialist

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.

• 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