СШАAI Engineer - Agents
1 мес. назад
180k–300k USD / годСШАSeniorOnsite
pythonapidistributed systemsllmorchestrationtesting
Staff AI Engineer role to build production AI agents for accounting software, combining software engineering and AI expertise.
О компании
- 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.
Обязанности
- Join 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
Требования
- 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.
Другое
- 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.
- 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 ’s mission.