Senior AI Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior AI Engineer San Francisco, CA | Hybrid | Remote 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, and built remote-first. 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

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