$150K – $220K/yr
AI Engineer - Agents
Pay vs market · Top quarter
This job's pay ($240,000 a year at the midpoint) is higher than about 90% of 10 salary-listed AI Engineer jobs in United States in the last 12 months; their median is $222,052.
Role overview
Job description
About Us Campfire is on a mission to redefine the accounting software landscape by taking on giants like Netsuite to build modern accounting software for startups and mid-size tech companies. We graduated from Y Combinator's Summer 2023 cohort, and we are backed by prominent investors like Foundation Capital and a rapidly growing customer base. 🌟 The Role Join Campfire as an AI Engineer to build production AI agents that help customers get real accounting work done. You’ll combine strong software engineering fundamentals with hands-on experience developing and operating agentic applications, from automating financial workflows to helping customers understand and act on their financial data. This is a hands-on technical role. You’ll shape our agent architecture, ship customer-facing features, and establish the engineering practices that make them reliable. You’ll work closely with engineering, product, and design to turn ambiguous problems into software our customers can trust 💼 We Need Someone Who Has Expertise Strong software engineering background, with substantial experience designing, building, and operating production backend systems. You write maintainable Python and bring sound judgment to APIs, data models, distributed systems, and testing. Hands-on experience shipping LLM-powered agents used by real customers, including tool calling, orchestration, retrieval, and integration with application data and workflows. Experience owning agent quality in production through evaluations, tracing, monitoring, and systematic debugging of failures. Practical judgment around agent permissions, data access, human approvals, and recovery from partial failures, especially when agents take actions on behalf of users. Ability to balance accuracy, latency, cost, and complexity, and to choose when a problem calls for an agent, a deterministic workflow, or a combination of both. A track record of staff-level impact: leading complex initiatives, making architectural decisions across teams, mentoring engineers, and raising engineering standards while staying close to the code: Thrives in Agility: Our team is lean and moves quickly. You’re comfortable experimenting, iterating, and shipping fast. Values Autonomy: You take ownership end-to-end — from prototyping models to deploying and monitoring them in production. 👥 Ideal Candidate You’re an experienced engineer with software engineering experience who has owned consequential production systems and can explain the tradeoffs, failures, and lessons behind what you’ve shipped. You’ve taken AI agents beyond demos and prototypes and improved them based on real usage. You care about customer outcomes and bring curiosity about accounting and financial workflows. Prior fintech or accounting experience is a plus. You collaborate closely with engineering, product, and design, communicate technical decisions clearly, and help other engineers grow. You want the ownership and scope of a staff role while remaining an active builder. 📢 Let’s Connect Think you’re the perfect fit? We’re excited to meet you! Reach out, share your story, and let’s explore how you can bring intelligence to Campfire’s mission.
About this listing
- Source: Campfire's official careers site (via Ashby) · last confirmed on the source 7 Nov 2026
- Posted 14 Sept 2026
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Role market pulse
How AI Engineer demand looks in United States
Live jobs
38
Posted 30d
26
30d movement
+333.3%
Remote share
28.9%
Salary listed
71.1%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Hands-on experience shipping LLM-powered agents used by real customers, including tool calling, orchestration, retrieval, and integration with application data and workflows
Department · Engineering
Hiring company
Campfire
Campfire is the AI-native ERP built for lean finance teams. Automate reconciliations, close faster, and scale revenue without adding headcount.
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