AI Engineer - Agents

Atlas Hotel, LP
San Francisco, CA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$180,000.0 - $300,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Security Software Debugging Distributed Systems Python (Programming Language) Application Data Software Engineering Large Language Models Backend

Job description

Join Campfire as a Staff 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 leadership 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

Requirements

  • 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., * You’re an experienced engineer with 8+ years of 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.

Benefits & conditions

Compensation Range: $180K - $300K

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Building client-facing AI agents for engineering teams

Alfonso Graziano Alfonso Graziano · Coffee With Developers

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

4:04 min

Embedding data security and applied ethics into developer education

Daniel Tao +3 · World Congress 2024

1:42 min

Selecting optimal caching approaches based on data volatility

Simone Sanfratello · World Congress 2022

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · World Congress 2026 Europe

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

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