About this role
About ClarkClark is building the trust infrastructure for the AI economy.
We're starting with audit and accounting workflows—high-trust environments where reliability, accuracy, and security matter as much as productivity. Our platform helps firms automate complex workflows, deploy AI safely, and modernize how audit teams operate.
Ava is Clark's AI agent for audit workflows.
The RoleWe 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.
Why This Role MattersClark'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.
What You'll DoBuild 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
Who You Are5+ 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
BonusExperience 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