AI Engineer - Agents

Posted 14 Days Ago
San Francisco, CA, USA
In-Office
180K-300K Annually
Senior level
Artificial Intelligence • Software • Analytics • Financial Services
Campfire is the AI-first ERP powering next-gen finance & accounting teams.
The Role
Build and operate production AI agents that automate accounting workflows and help customers understand financial data. Shape agent architecture, develop customer-facing features, establish reliability practices, and own evaluations, tracing, monitoring, permissions, data access, human approvals, and failure recovery. Lead complex initiatives, make cross-team architectural decisions, mentor engineers, and balance accuracy, latency, cost, and complexity while remaining hands-on.
Summary Generated by Built In
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.


Skills Required

  • Substantial experience designing, building, and operating production backend systems
  • Strong Python programming skills
  • Experience with APIs, data models, distributed systems, and testing
  • Hands-on experience shipping production LLM-powered agents used by real customers
  • Experience with tool calling, orchestration, retrieval, and application data and workflow integrations
  • Experience owning agent quality through evaluations, tracing, monitoring, and systematic debugging
  • Practical experience with agent permissions, data access, human approvals, and partial-failure recovery
  • Ability to balance accuracy, latency, cost, and complexity when selecting agentic or deterministic solutions
  • Staff-level impact leading complex initiatives, making architectural decisions, mentoring engineers, and raising engineering standards
  • 8+ years of software engineering experience
  • Experience taking AI agents beyond demos and prototypes and improving them through real usage
  • Ability to collaborate with engineering, product, and design and communicate technical decisions clearly
  • Curiosity about accounting and financial workflows
  • Prior fintech or accounting experience
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The Company
HQ: Mount Juliet, TN
44 Employees
Year Founded: 2023

What We Do

Campfire is the AI-native ERP for mid-size and enterprise companies to close fast and scale faster. Features include a powerful general ledger, invoicing, billing, revenue accounting and reporting, financial statements, AI-powered conversational reporting, and automated accounting workflows such as bank reconciliation. The product is natively integrated with industry leading solutions such as Ramp, Rippling, Salesforce, and has over 100+ API endpoints to build custom integrations and workflows. Campfire's customers range from 50 to 5,000 employees with a variety of business models including SaaS, usage, consulting and transactions including customers such as Replit and Advisor360. The company is headquartered in San Francisco and backed by Accel, Foundation Capital, Y Combinator and Capital49 (Airwallex).

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