AI Engineer

Fieldguide
San Francisco
Workplace: RemoteFull timeUSD 150,000 - 310,000 annuallyFunction: Data Science & Machine LearningSkills: ["TypeScript","React","Python","Postgres","LLM","OpenAI","Gemini","Anthropic","Vector databases","Embedding models","RAG","Agent frameworks","Retrieval pipelines"]

Design, build, and ship AI agent systems for complex audit workflows, integrating LLMs, tools, and retrieval systems into reliable, scalable production agents. Collaborate with product/design, own production performance, and drive enterprise-grade AI-native engineering across the full product lifecycle.

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FursaFursa
Fieldguide
Fieldguide
7 months ago

AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Design, build, and ship AI agent systems for complex audit workflows, integrating LLMs, tools, and retrieval systems into reliable, scalable production agents. Collaborate with product/design, own production performance, and drive enterprise-grade AI-native engineering across the full product lifecycle.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and ship agentic systems that automate and augment complex audit workflows
  • •Translate customer problems into concrete agent behaviors and workflows
  • •Integrate and orchestrate LLMs, tools, retrieval systems, and logic into cohesive, reliable agent experiences
  • •Own agents in production, including performance and observability
  • •Use AI as core leverage in how you design, build, test, and iterate

Pay and Benefits

Salary: USD 150,000 - 310,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityRemote WorkWellness Stipend

Key Requirements

  • •Proven experience shipping production software in complex systems; ability to translate customer problems into concrete agent behaviors
  • •Experience with TypeScript, React, Python, and Postgres
  • •Hands-on with LLM-powered features and agent frameworks; familiarity with vector databases and embedding models
  • •Ability to design prompts, retrieval pipelines, and agent orchestration systems for reliable, scalable performance
  • •Comfort operating in ambiguity and taking ownership of outcomes
Experience:AIEnterprise softwareAuditAccounting workflows
Skills:TypeScriptReactPythonPostgresLLMOpenAIGeminiAnthropicVector databasesEmbedding modelsRAGAgent frameworksRetrieval pipelines
Tech Stack:TypeScriptReactPythonPostgresLLMOpenAIGeminiAnthropicVector databasesEmbeddingsRAGAgent frameworksRetrieval pipelines

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
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