AI Engineer - Agents

Responsibilities

• Design, build, deploy, and operate production AI agents that automate financial workflows and help customers use their accounting data.
• Develop agent capabilities including tool calling, orchestration, retrieval, and integration with application data and workflows.
• Own production agent quality through evaluations, tracing, monitoring, and systematic debugging.
• Design safeguards for permissions, data access, human approvals, and recovery from partial failures.
• Shape agent architecture, make architectural decisions across teams, and balance accuracy, latency, cost, and complexity.
• Lead complex initiatives, mentor engineers, raise engineering standards, and collaborate with engineering, product, and design while remaining hands-on.

Requirements

• 8+ years of software engineering experience owning consequential production systems.
• Strong backend software engineering experience, including maintainable Python and sound judgment around APIs, data models, distributed systems, and testing.
• Hands-on experience shipping LLM-powered agents used by real customers, including tool calling, orchestration, retrieval, and workflow integration.
• Experience improving AI agents based on real usage and operating them in production.
• Experience making architectural decisions, leading complex initiatives, mentoring engineers, and influencing engineering standards at staff level.
• Ability to evaluate when to use an agent, a deterministic workflow, or a combination of both, while balancing accuracy, latency, cost, and complexity.
• Clear technical communication, cross-functional collaboration, ownership, and curiosity about accounting and financial workflows.
• Prior fintech or accounting experience is a plus.