
Job Overview
Location
San Francisco, CA
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
April 17, 2026
Full Job Description
đź“‹ Description
- • As a Staff AI Engineer at Fieldguide, you will shape the technical direction of the company's intelligence layer by defining architecture, standards, and roadmap for building reliable AI agents in enterprise audit and advisory workflows.
- • You will drive impact across the engineering organization by setting architectural direction for agentic systems, identifying and resolving systemic gaps, making high-leverage technical bets, and establishing evaluation standards, observability infrastructure, and reliability frameworks at scale.
- • You will own complex, cross-cutting product areas end-to-end, design agent orchestration and retrieval systems for enterprise-grade complexity, lead the evolution of LLM infrastructure (models, prompts, guardrails, feedback loops), and prototype, validate, and harden novel approaches before sharing with the broader team.
- • You will partner with Engineering leadership, Product, and Design to shape the AI roadmap, create reusable platforms and tooling that multiply team velocity, identify and develop the next generation of senior engineers, and translate long-term product vision into concrete technical strategies while staying at the frontier of LLM and agent research.
Skills & Technologies
About Fieldguide Inc.
Fieldguide builds AI workflow automation software for advisory and assurance firms, combining generative AI, large language models and no-code orchestration to digitize risk assessments, evidence collection, report writing and continuous monitoring across SOC 2, PCI-DSS, HIPAA, HITRUST, ISO 27001 and other compliance frameworks. The cloud platform unifies client portals, project management, collaboration and analytics so CPA, cybersecurity and risk-consulting teams can reduce manual tasks, accelerate audits and scale advisory services while maintaining security and quality standards for mid-market to enterprise clients.
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