AI Engineer - Agents

campfire; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Campfire is seeking an AI Engineer to build production AI agents that enable customers to do real accounting work. You will combine strong software engineering fundamentals with hands-on experience creating and operating agentic applications, from automating financial workflows to interpreting and acting on financial data.

You will shape agent architecture, ship customer-facing features, and establish engineering practices that ensure reliability while collaborating with engineering, product,

Qualifications

• Proven software engineering background with backend systems experience.
• Experience shipping LLM-powered agents and integrating with application data.

Responsibilities

• Build production AI agents and engineer agent architecture.
• Ship customer-facing features and establish reliable engineering practices.
• Collaborate with engineering, product, and design to turn problems into trusted software.

Skills

Python

APIs

Distributed systems

Testing

System design

Tools

LLM-powered agents

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.