Software Engineer, AgentOps

Reposted 3 Days Ago
San Francisco, CA, USA
Hybrid
160K-310K Annually
Mid level
Software
The Role
Build and maintain agent infrastructure and tooling, improve developer experience for AI workflows, instrument and measure agent effectiveness, run experiments on AI tooling, and enable org-wide adoption through training and documentation.
Summary Generated by Built In
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. Put simply, we build software for the people who enable trust between businesses.

We’re based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We’re backed by top investors, including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.

We value diversity—in backgrounds and experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide’s team is inclusive, driven, humble, and supportive. We are deliberate and self-reflective about the kind of team and culture we are building, seeking teammates who are not only strong in their own aptitudes, but who also care deeply about supporting each other’s growth.

As an early-stage startup employee, you’ll have the opportunity to help build the future of business trust. We make audit practitioners’ lives easier by consolidating up to 50% of their work and improving work-life balance. If you share our values and enthusiasm for building a great culture and product, you’ll find a home at Fieldguide.

What You’ll Own
  • Agent infrastructure and tooling: Build and maintain the internal platform that makes agentic workflows reliable and easy to adopt for team members—MCP integrations, prompt/skill libraries, shared configurations, knowledge systems, and tooling that connects agents to our codebase, docs, and internal services.

  • Developer experience for AI workflows: Make the right way to use AI the easy way for all team members. Build onboarding and documentation, define clear paths for common workflows (planning, testing, ticket creation, code review, production support), and create feedback loops that show what’s working and what isn’t.

  • Measurement and attribution: Build instrumentation to track efficiency metrics, agent effectiveness, and team productivity.

  • Experimentation and evaluation: The AI tooling landscape changes quickly. Run structured trials of new tools, synthesize learnings, and maintain a living point of view the team can follow.

  • Enablement and culture: Run trainings, office hours, internal demos, and coaching that raise the floor across the org—so every engineer can be AI-native from day one.

What You BringMust-haves
  • Excellent engineer first: You ship reliable internal tools, build integrations, and debug production systems. You love building things.

  • Deep hands-on experience with AI coding tools: You’ve used Claude Code, Cursor, Codex, and more in real engineering work—not toy projects. You have strong opinions on what works and what doesn’t.

  • Systems thinking: You connect local developer tooling to org-wide velocity. You think in platforms and outcomes.

  • Influence without authority: You work across Engineering, Product, Design, and more. You bring people along through great docs, practical examples, and results—not mandates.

  • Bias toward measurement: You’re not satisfied with “it feels faster.” You instrument, measure, and iterate based on data.

Strong signals
  • Platform engineering or developer experience background

  • Experience with LLMOps practices: evaluation frameworks, prompt regression testing, cost/performance tracking

  • Track record rolling out internal tools across teams (adoption playbooks, change management)

  • Security and compliance familiarity for AI-enabled workflows (data access boundaries, governance, observability)

  • Experience building knowledge systems: search, RAG, internal documentation platforms

More about Fieldguide:

Fieldguide is a values-based company. Our values are:

  • Fearless - Inspire & break down seemingly impossible walls.

  • Fast - Launch fast with excellence, iterate to perfection.

  • Lovable - Deliver happiness & 11 star experiences.

  • Owners - Execute & run the business with ownership.

  • Win-win - Create mutual value & earn trust for life.

  • Inclusive - Scale the best ideas with inclusive teams.

Some of our benefits include:
  • Competitive compensation packages with meaningful ownership

  • Flexible PTO

  • 401k

  • Wellness benefits starting on your first day

  • Technology & Work from Home reimbursement

  • Flexible work schedules

Top Skills

Claude Code
Codex
Cost/Performance Tracking
Cursor
Eval Frameworks
Instrumentation
Internal Documentation Platforms
Knowledge Systems
Llmops
Mcp Integrations
Prompt Regression Testing
Rag
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The Company
HQ: San Francisco, California
62 Employees
Year Founded: 2020

What We Do

Fieldguide offers market-leading Artificial Intelligence and Cloud for Advisory and Audit firms. Built by former Big Four practitioners and veteran technology leaders, our platform digitizes the end-to-end engagement workflow on a single, cloud-native platform. Fieldguide's AI Advisory & Audit Cloud is trusted by top CPA firms to unlock growth, increase margins, and delight clients. Fieldguide AI is award winning, being recognized by CPA Practice Advisor (3x Technology Innovation Award) and Accounting Today (2x Top New Product). Fieldguide is based in San Francisco, and backed by top investors like 8VC, Floodgate, Y Combinator, Fourth Realm, Justin Kan, Eric Ries, and many more

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