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Campfire

AI Engineer - Agents

Campfire is hiring an AI Engineer - Agents in San Francisco, United States. It pays $180k-$300k a year and Level rates it ; you can apply on Campfire.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
  • The listed pay starts close to the typical AI engineer posting on Level.
  • Tools and skills the posting cites include Python, LLMs and AI agents.
  • Level classifies it as a senior role.
  • Level lists 49 other open roles at Campfire.

AI in this role

Design, build, and operate production LLM-powered AI agents to automate accounting workflows.

pythonllms
ai-agentsagent-architecturellm-agentsbackendevaluation

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.


How we rate this

AI Engineer - Agents at Campfire rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAgent ArchitectureLLM AgentsBackendEvaluationPythonLLMs

Also common in AI engineer jobs at this level

Pay

This job starts at
$180k
Typical AI engineer job
$184k

This posting starts close to the typical AI engineer job. See AI engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where agent architecture was part of your work. What did you do?
  3. Tell me about a project where llm agents was part of your work. What did you do?
  4. Tell me about a project where backend was part of your work. What did you do?
  5. Tell me about a project where evaluation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Agent Architecture, LLM Agents, Backend, and Evaluation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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