Every audit answers one question: can I trust this? For 150 years, people have answered it by hand. Clark is changing that.
We build AI that doesn’t just assist auditors. It does the audit work itself. More than 35 CPA firms already use Clark to run audit fieldwork faster and at equal or better quality. Audit is where we start. Our mission is to build the trust infrastructure layer for the AI economy, and we’re only getting started.
We’re a small, hard-working team backed by top investors. We take ownership and judge ourselves by results. If you want to change how an entire profession works, you’ll fit in here.
We are hiring Senior Engineers to grow the Ava team and build the AI systems that power Clark's core product.
You will design and ship production AI systems that automate complex audit and accounting workflows. This includes LLM-powered agents, retrieval systems, document intelligence, evaluations, validation, and the infrastructure required to make AI reliable in high-trust environments.
You will work closely with product engineers, Audit Engineers, customers, and company leadership to identify high-value workflows and build systems that can perform them accurately, securely, and at scale.
Clark's ability to win and retain customers depends on the depth, reliability, and quality of Ava.
As customers ask Clark to automate more complex workflows, the Ava team must build AI systems that are both impressive in demos and reliable in production.
This role directly expands what the business can sell, deploy, and support.
Build and improve LLM-powered workflows within Ava
Design agentic systems for audit and accounting workflows
Improve retrieval, reasoning, evaluation, and reliability of AI outputs
Partner with Audit Engineers to understand real customer workflows
Create evaluations, monitoring, guardrails, and human-in-the-loop review systems
Build production systems that can operate in trust-sensitive environments
Improve prompt, tool-use, orchestration, and evaluation systems
Improve the accuracy, reliability, latency, and cost of production AI workflows
Collaborate with platform engineers on reliability and observability
Debug AI failure modes and improve system performance over time
Ship product features that directly impact customer adoption
Debug failures in live customer workflows and improve system performance over time
Help establish Clark’s technical standards for building safe and dependable AI systems
5+ years of software engineering experience
Experience building production software systems
Strong backend or full-stack engineering fundamentals
Hands-on experience building applications with LLMs, agents, retrieval systems, or other modern AI models
Experience designing evaluations and improving AI-system performance using real production data
Comfortable working with probabilistic systems and designing around uncertainty and failure
Strong product judgment and an ability to identify the simplest system that delivers meaningful customer value
Comfortable working directly with domain experts and translating complex workflows into software
High ownership, strong communication, and excellent technical judgment
Excited to operate in person with a fast-moving, talent-dense team
Experience building production LLM applications
Experience with agent frameworks, evals, retrieval systems, or tool-calling
Experience in fintech, compliance, accounting, audit, legaltech, or other trust-sensitive software
Experience with document-heavy workflows
Experience at a fast-moving startup
5 days a week on-site in NYC — no remote or hybrid
Startup hours and pace — this isn't a 9-to-5
Flat structure, no hierarchy — everyone ships
High ownership — you own outcomes, not just tasks
Unlimited PTO
Wellhub Platinum membership
Comprehensive health, dental, and vision coverage
Free company dinner every day
Skills Required
- 5+ years of software engineering experience
- Experience building production software systems
- Strong backend or full-stack engineering fundamentals
- Hands-on experience building applications with LLMs, agents, retrieval systems, or modern AI models
- Experience designing evaluations and improving AI-system performance using real production data
- Ability to work with probabilistic systems and design around uncertainty and failure
- Strong product judgment and ability to identify simple systems that deliver customer value
- Ability to work directly with domain experts and translate complex workflows into software
- High ownership, strong communication, and excellent technical judgment
- Willingness to work in person five days per week in New York City
- Experience building production LLM applications
- Experience with agent frameworks, evaluations, retrieval systems, or tool calling
- Experience in fintech, compliance, accounting, audit, legal technology, or other trust-sensitive software
- Experience with document-heavy workflows
- Experience at a fast-moving startup
What We Do
Clark builds AI-native software for public accounting firms and auditors. Its platform acts as trust infrastructure for the AI economy, helping firms automate complex audit and accounting workflows, deploy AI safely, and modernize how audit teams operate. Designed around each firm’s environment and methodology, Clark focuses on reliability, accuracy, security, transparency, and productivity in high-trust professional work across modern accounting organizations.
