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Senior AI Engineer (Korea)

Fieldguide

Industry
Information Technology & Services
Location
Seoul, South Korea
Work mode
Hybrid
Job type
Full-time
Annual salary
₩169,318,374 - ₩173,263,730 (₩169.32 Million - ₩173.26 Million)
Minimum experience
7+ years
Posted
26th March, 2026

Required skills

Artificial IntelligenceAuditLarge Language ModelsObservabilityTypeScriptPythonPostgreSQL

About the role

About Us

Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners-specifically in cybersecurity, privacy, and financial audits. We build software for the people who enable trust between businesses.

We're based in San Francisco, CA, but built remote-first. We're opening a new office in Seoul, and we're backed by Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, and more. Over 50 of the top 100 accounting and consulting firms trust Fieldguide to power mission-critical work.

About the Role

Fieldguide is building AI agents for the most complex audit and advisory workflows. As a Senior AI Engineer, you'll own meaningful product areas end-to-end-designing agentic architectures, building evaluation systems, and shipping agents that professionals trust with mission-critical work.

This role is for engineers who have shipped LLM-powered features in production and are ready to take the lead on complex systems while mentoring those around them.

What You’ll Own Build and Ship AI Agents
  • Design and build agentic systems that automate complex audit workflows end-to-end

  • Translate customer problems into concrete agent behaviors and orchestration logic

  • Orchestrate LLMs, tools, retrieval, and business logic into reliable, production-grade agent experiences

  • Own agents across their lifecycle: delivery, reliability, performance, and observability

Execute with AI-Native Leverage
  • Use AI to accelerate design, build, test, and iteration cycles

  • Prototype quickly, then harden systems for enterprise-grade reliability

  • Build evaluation frameworks, feedback loops, and guardrails to improve agents over time

  • Design prompts, retrieval pipelines, and orchestration logic that perform at scale

Drive Product Impact
  • Make clear trade-offs on what to build, cut, or skip based on customer value

  • Partner with Product and Design to define capabilities that deliver real outcomes

  • Stay close to customer workflows and optimize for highest-impact problems

  • Identify capability gaps and unblock team progress proactively

Mentor and Multiply the Team
  • Raise the quality bar through code review, design feedback, and pairing

  • Create reusable abstractions, patterns, and tooling that increase team velocity

  • Share learnings across the team and establish engineering best practices

Who You Are

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

Experience

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

  • Human-in-the-loop design: Knowing when to automate vs. when to surface decisions

  • Nuanced evaluation: Audits require judgment, so feedback structures matter

  • Explainability: Making AI outputs and reasoning transparent and trustworthy

  • Complex domains: Navigating compliance and enterprise rigor while moving fast

  • Shipping daily value: Delivering agent experiences customers use every day

Benefits
  • Competitive compensation with equity

  • Comprehensive health and wellness benefits

  • Flexible time off and work schedules

  • Technology reimbursements

  • Twice-yearly in-person offsites across the U.S.

  • Wellness benefits starting on your first day

Our Values
  • Fearless - Inspire and break down seemingly impossible walls

  • Fast - Launch fast with excellence; iterate to perfection

  • Lovable - Deliver happiness and 11-star experiences

  • Owners - Execute and run the business with ownership

  • Win-win - Create mutual value and earn trust for life

  • Inclusive - Scale the best ideas with inclusive teams

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