Jobs Companies Fieldguide Senior AI Engineer

Über diese Senior AI Engineer Stelle bei Fieldguide

Fieldguide · San Francisco, CA

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 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

  • 401(k) plan

  • 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

Bereit, sich bei Fieldguide zu bewerben?
Bei Fieldguide bewerben

Wie sich dieses Gehalt für AI Engineer vergleicht

Diese Stelle zahlt $222,500/yrim Einklang mit der üblichen Spanne für AI Engineer Stellen.

$169,350 dem Median $232,500 $323,640

Übliche Spanne $200,000–$277,990/yr, aus 203 vergleichbaren AI Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für AI Engineer ansehen →

Ähnliche Jobs

Stitch Fix
ML Platform Engineer
Stitch Fix
⚡ Früh bewerben Remote, USA · standortgebunden $136,000–$167,000
● Neu 👁 Gesehen ✓ Beworben vor 6 Std.
Redwood Materials
Software Engineer - ML/Computer Vision (Battery Sorting)
Redwood Materials
⚡ Früh bewerben McCarran, NV; San Francisco, C... Vor Ort $152,500–$287,500
● Neu 👁 Gesehen ✓ Beworben vor 9 Std.
Sift Stack, Inc.
Software Engineer, Backend (Agentic AI)
Sift Stack, Inc.
⚡ Früh bewerben San Francisco, CA Hybrid $200,000–$250,000
● Neu 👁 Gesehen ✓ Beworben vor 16 Std.
Sift Stack, Inc.
Senior Software Engineer, Backend (Agentic AI)
Sift Stack, Inc.
⚡ Früh bewerben San Francisco, CA Hybrid $200,000–$250,000
● Neu 👁 Gesehen ✓ Beworben vor 16 Std.
Cloudflare
Senior Systems Engineer, AI Gateway
Cloudflare
⚡ Früh bewerben In-Office Hybrid
● Neu 👁 Gesehen ✓ Beworben vor 16 Std.
DoorDash USA
Software Engineer, Machine Learning Infrastructure - Generative AI
DoorDash USA
⚡ Früh bewerben San Francisco, CA; Sunnyvale,... Vor Ort $137,100–$201,600
● Neu 👁 Gesehen ✓ Beworben vor 16 Std.
DoorDash USA
Senior Software Engineer, Machine Learning Infrastructure - Generative AI
DoorDash USA
⚡ Früh bewerben San Francisco, CA; Sunnyvale,... Vor Ort $137,100–$201,600
● Neu 👁 Gesehen ✓ Beworben vor 16 Std.
Instabase
AI Engineer
Instabase
⚡ Früh bewerben San Francisco, CA Vor Ort $478,400–$478,400
● Neu 👁 Gesehen ✓ Beworben vor 18 Std.
Nextdoor
Senior/Staff Machine Learning Engineer - Ads
Nextdoor
⚡ Früh bewerben US Remote · standortgebunden $205,000–$355,000
● Neu 👁 Gesehen ✓ Beworben vor 18 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei Fieldguide

Alle Jobs bei Fieldguide ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos