Fieldguide - Senior AI Engineer (Korea)

• You’re a strong software engineer who’s built your skills for an AI-native world. These principles resonate with you: • Bias to building: You move fast and resolve uncertainty by shipping • AI-native instincts: You treat LLMs, agents, and automation as core building blocks • Strong product judgment: You decide what matters and why—not just how to implement it • Learning velocity: You learn quickly from feedback and adjust based on data • Grounded optimism: You improve what's broken today and push toward what's possible next • End-to-end ownership: You understand production systems and own outcomes • We care more about capability and trajectory than years on a resume, but most strong candidates have: • 3–6+ years shipping production software in complex, real-world systems • Strong command of TypeScript, Python, and Postgres • Shipped LLM-powered features serving real production traffic • Built retrieval pipelines and agent orchestration systems • Implemented evaluation frameworks for model outputs and agent behavior • Worked with vector databases, embedding models, and RAG architectures • Hands-on experience with modern LLM APIs (OpenAI, Gemini, Anthropic) and agent frameworks • Comfortable operating in ambiguity and taking responsibility for outcomes • What Should Excite You • Enterprise-grade reliability: Building systems professionals depend on • Enterprise-grade reliability: • Human-in-the-loop design: Knowing when to automate vs. when to surface decisions • Human-in-the-loop design: • Nuanced evaluation: Audits require judgment, so feedback structures matter • Nuanced evaluation: • Explainability: Making AI outputs and reasoning transparent and trustworthy • Explainability: • Complex domains: Navigating compliance and enterprise rigor while moving fast • Complex domains: • Shipping daily value: Delivering agent experiences customers use every day • Shipping daily value: