AI Engineer, Fieldguide
$150-220k
+ Equity
More information about location
Software for assurance & advisory firms
Open for applications
Software for assurance & advisory firms
101-200 employees
Open for applications
$150-220k
+ Equity
More information about location
101-200 employees
Company mission
Fieldguide's mission is to increase trust in commerce and capital markets.
Role
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're excited to use LLMs, agents, and automation as core tools
- Curiosity and learning velocity: You ramp quickly on new problems and technology
- Collaborative: You communicate proactively and seek feedback often
- Attention to detail: You care about quality in code and customer-facing outputs
- We care more about capability and trajectory than years on a resume, but most strong candidates have:
- 1–3 years shipping production software in real-world systems
- Proficiency in TypeScript and/or Python
- Some exposure to LLM APIs (OpenAI, Anthropic, Gemini) or AI tooling
- Familiarity with retrieval pipelines, RAG concepts, or vector databases is a plus
- Experience with React and Postgres is helpful but not required
- Comfortable working in ambiguity with direction from senior engineers
What the job involves
- As an AI Engineer, you’ll build Fieldguide’s intelligence layer—agentic workflows, architectures, and evaluation systems that power enterprise-grade agents. You’ll operate at the intersection of product engineering, applied AI, and production systems
- Build and Ship AI Agents:
- Implement agentic workflows that automate complex audit tasks
- Turn customer problems into discrete, testable agent behaviors
- Integrate LLMs, tools, and retrieval logic into reliable agent experiences
- Monitor and maintain agents in production with a focus on reliability and performance
- Execute with AI-Native Leverage:
- Use AI tooling to accelerate how you design, build, and test features
- Prototype quickly and harden systems for enterprise reliability
- Build evaluations and feedback loops to improve agent outputs
- Write prompts and retrieval pipelines that perform at scale
- Contribute to Product Impact:
- Work closely with senior engineers and product to scope and deliver features
- Translate customer workflows into clear engineering requirements
- Identify and surface capability gaps to improve team velocity
- 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
Our take
Fieldguide offers a cloud-native collaboration and automation platform for accounting and advisory practices. The idea is to make workflow and collaboration more streamlined, and automate parts of it altogether, for teams working on cybersecurity, risk, and ESG audits.
Fieldguide has launched with a focus on three high-demand and high-growth areas of business. With cybersecurity and ESG in particular seeing increased corporate investment, thanks to the steep costs of error or regulatory non-compliance, demand for tech that can help manage this influx of auditing work is likely to grow fast. Indeed, Fieldguide received an impressive funding injection in 2024 that will help expand the kinds of audits its product applies to, as well as grow its team.
Fieldguide has already netted some key audit and advisory firms as clients, suggesting that the young company is onto something good. Internal productivity tools are booming across multiple industries, with automation also seeing a significant uptake for enterprise businesses. If Fieldguide can successfully manage its scale-up, it could become an important software player.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
55% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2026
$75m
SERIES C
Mar 2024
$30m
SERIES B
Total funding: $122.4m
Company benefits
- Health
- Dental
- PTO
Company HQ
Eureka Valley, San Francisco, CA
Leadership
Chris Szymansky
(Co-Founder & CTO)Previously co-founded live video streaming platform Vivo, before moving on to work in software development at Fireman Creative. Subsequently held various high level positions, including CTO at JazzHR, and VP of Engineering, Product, and Design at Atrium.
Jin Chang
(Co-Founder & CEO)Originally a Management Consultant at EY, before co-founding blockchain aggregation API company, Bitbutter. Moved on to serve as Chief of Staff at Atrium.
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