AI Engineer, Fieldguide
All Levels
$150-310k
+ Equity
More information about location
Software for assurance & advisory firms
Be an early applicant
Software for assurance & advisory firms
101-200 employees
Be an early applicant
$150-310k
+ 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
- We're hiring across all levels. We'll calibrate seniority during interviews based on your background and what you're looking to own
- This role is for engineers who value in-person collaboration at our San Francisco, CA office
- You are a strong software engineer who has built your skills for an AI-native world. The following operating principles should resonate with you:
- Bias to building: You move fast and resolve uncertainty by shipping software
- AI-native instincts: You treat LLMs, agents, and automation as fundamental building blocks and parts of the craft of engineering
- Strong product judgment: You can decide what matters and why, without waiting for guidance, not just how to implement it
- Learning velocity: You move fast, learn from feedback, and adjust based on data
- Grounded optimism: You improve what is broken today and are energized by what becomes possible next
- End-to-end thinker: You understand how systems behave in production and own outcomes
- We care more about capability and trajectory than years on a resume, but most strong candidates will have:
- Multiple years of experience shipping production software in complex, real-world systems
- Experience with TypeScript, React, Python, and Postgres
- Built and deployed LLM-powered features serving production traffic
- Designed retrieval pipelines and agent orchestration systems
- Implemented evaluation frameworks for model outputs and agent behaviors
- Worked with vector databases, embedding models, and RAG architectures
- Hands-on experience with modern LLM APIs (OpenAI, Gemini, Anthropic, etc.) and agent frameworks
- Comfort operating in ambiguity and taking responsibility for outcomes
- Deep empathy for professional-grade, mission-critical software (experience with audit and accounting workflows are not required)
What the job involves
- As an AI Engineer, you'll design and build the intelligence layer of Fieldguide, the agentic workflows, architectures, and evaluation systems that power enterprise-grade agents
- This role sits at the intersection of product engineering, applied AI, and production systems
- Design, build, and ship agentic systems that automate and augment complex audit workflows
- Translate customer problems into concrete agent behaviors and workflows
- Integrate and orchestrate LLMs, tools, retrieval systems, and logic into cohesive, reliable agent experiences
- Own agents in production, including performance and observability
- Use AI as core leverage in how you design, build, test, and iterate
- Prototype quickly to resolve uncertainty, then harden systems for enterprise-grade reliability
- Build evaluations, feedback mechanisms, and guardrails so agents improve over time
- Design prompts, retrieval pipelines, and agent orchestration systems that perform reliably at scale
- Make tradeoffs about what to build, what to cut, and what not to build at all
- Partner closely with Product and Design to define agent capabilities that drive real customer outcomes
- Stay deeply connected to how customers actually use agents and optimize for the highest impact problems
- Identify the highest-leverage capability gaps and unblock them without waiting for direction
- Take full ownership of large product areas rather than executing on narrow tasks
- Identify bottlenecks and unblock progress without waiting for direction
- Increase team velocity by building reusable abstractions, tools, and patterns for agent development
- What Should Excite You:
- Agent reliability at enterprise scale: Building systems that professionals depend on
- Balancing automation with human oversight: Knowing when to automate and when to surface decisions to experts
- Building evaluation systems when ground truth is nuanced: Audits require judgment, so structuring data in ways to get feedback is essential
- Explaining AI decisions: Making all forms of AI outputs and agent reasoning transparent and trustworthy
- Operating in a complex industry: Understanding compliance constraints and enterprise rigor while also moving fast
- Applied engineering where you ship agent experiences customers depend on daily
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 4 rounds)
Mar 2024
$30m
SERIES B
Mar 2022
$17m
SERIES A
Total funding: $47.4m
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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