Applied AI Engineer (Phoenix)

About the Role We’re looking for a hands-on Applied AI Engineer to build the AI tools, agents, and automations that make Ignitium faster, and increasingly, to build custom AI solutions and PoCs for our clients. This is a true individual contributor role in a complex environment. Our work spans dozens of interconnected systems: workflow platforms (n8n, Clay, Zapier, Make), data and BI tools (BQ, CloudSQL, Domo, Google Sheets), project management (Asana), enrichment and outbound tools (Outreach, Ora.im , Apollo.io , Zoominfo, SalesLoft, Sales Navigator), intent data (Bombora, 6sense, Demandbase), ad platforms (LinkedIn, Meta, Google, Reddit, X), and a growing AI layer of Agents, MCP servers, custom skills, and browser automation. No two clients look alike and the problems are rarely well-defined when they reach you. AI-assisted development: We expect you to use AI coding tools aggressively. They’re core to how we work. AI assistance multiplies engineering skill, it doesn’t replace it. You must be able to read, debug, and own what you ship. Key Responsibilities Internal AI Tools Zapier or Make also valued), including writing custom code inside it. Understanding of model trade-offs: latency, cost, accuracy, and when a cheaper model is the right call. Soft Skills Bias toward action. You’d rather ship a v1 this week than design a perfect system next month. Comfortable breaking fuzzy problems into small, testable steps. Clear written and verbal communication with non-technical stakeholders. Nice to Have Building or consuming MCP servers, or working with the Claude Agent SDK or agentic frameworks. Browser automation (Browserbase, Stagehand, Playwright, Puppeteer, or agent-driven browsing). Vector databases, search systems, or LLM evaluation frameworks. Background in B2B SaaS, GTM operations, RevOps, ABM/ABX, or agency environments. What Success Looks Like (First 12 Months) Multiple internal AI tools shipped, actively used, and trusted, with stakeholders able to point to hours saved or quality gains. Client-facing PoCs and custom builds that helped win, retain, or expand client relationships. Automations that keep working: they fail loudly, recover gracefully, and don’t need babysitting. A growing library of reusable components and patterns that others can build on without you in the room.