AI Engineer (Korea)

Fieldguide
Seoul
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 1-3 yearsSkills: ["Collaboration","Communication","Problem-solving","Attention to detail","Teamwork"]

AI Engineer at Fieldguide builds the intelligence layer for enterprise audit workflows by engineering agentic AI systems, integrating LLMs and tools, and maintaining production-grade agents. You’ll work at the intersection of product engineering, applied AI, and production systems to automate complex tasks and improve agent reliability and performance in a remote-first, Seoul-backed hybrid environment.

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FursaFursa
Fieldguide
Fieldguide
4 months ago

AI Engineer (Korea)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

AI Engineer at Fieldguide builds the intelligence layer for enterprise audit workflows by engineering agentic AI systems, integrating LLMs and tools, and maintaining production-grade agents. You’ll work at the intersection of product engineering, applied AI, and production systems to automate complex tasks and improve agent reliability and performance in a remote-first, Seoul-backed hybrid environment.
Location: Seoul
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and ship agentic AI workflows that automate complex audit tasks
  • •Turn customer problems into discrete, testable agent behaviors
  • •Integrate LLMs, tools, and retrieval logic into reliable agent experiences
  • •Monitor and maintain agents in production with a focus on reliability and performance
  • •Work closely with senior engineers and product managers to scope and deliver features

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityHealth Insurance

Key Requirements

  • •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
Experience:1-3 yearsAIEnterprise software
Skills:CollaborationCommunicationProblem-solvingAttention to detailTeamwork
Tech Stack:TypeScriptPythonOpenAIAnthropicGeminiReactPostgresLLMsRetrieval pipelinesVector databases

Company Brief

Fieldguide
Provides an agentic AI platform that automates and manages end-to-end audit, advisory, and compliance engagements for CPA and consulting firms, improving efficiency, margins, and client outcomes.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Revenue: USD 1M to 5M
Growth: Growth Stage Startup
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2020
Glassdoor
Glassdoor: 4.6
WebsiteLinkedInGlassdoor