Applied AI Engineer

📋 Description

• Take a problem from "fuzzy" to "shipped" — work from a rough definition and a priority, and figure
• Architect, build, and ship AI agents, applications, and intelligent workflows end-to-end. Integrate
• Rapidly prototype and experiment with new AI technologies, turning successful concepts into
• Embed with internal users — sit with the team, watch how they work, map the process, build what
• Own the build end-to-end — architecture, implementation, evals, logging, deployment.
• Debug the non-deterministic — when a system fails on edge cases, you build the evals and guardrails

🎯 Requirements

• 3+ years as a software engineer. You've shipped products that people used.
• You code AI-native — Claude Code, Cursor, Codex, whatever you've landed on — and you can read what
• An all-around full-stack builder, not a coder. You have a product mindset, can hold a complex
• Hands-on experience designing, building, and evaluating production-grade LLM and agentic AI
• You have great intuition and pragmatism, knowing when to build, integrate, automate, or leverage
• Strong understanding of APIs, databases, integrations, and cloud environments. You can scope a