Fieldguide - 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're excited to use LLMs, agents, and automation as core tools • Curiosity and learning velocity: You ramp quickly on new problems and technology • Collaborative: You communicate proactively and seek feedback often • Attention to detail: You care about quality in code and customer-facing outputs • We care more about capability and trajectory than years on a resume, but most strong candidates have: • 1–3 years shipping production software in real-world systems • Proficiency in TypeScript and/or Python • Some exposure to LLM APIs (OpenAI, Anthropic, Gemini) or AI tooling • Familiarity with retrieval pipelines, RAG concepts, or vector databases is a plus • Experience with React and Postgres is helpful but not required • Comfortable working in ambiguity with direction from senior engineers • 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: