ABOUT CLARK Clark 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 ROLE We are hiring a Senior Engineer to deepen the Ava team and build the AI systems that power Clark's core product. This role is focused on expanding Ava's capabilities, improving reliability, deepening product quality, and turning complex audit workflows into trusted AI-native experiences. You will work closely with product, audit domain experts, and platform engineers to ship production AI systems used in high-trust customer workflows. WHY THIS ROLE MATTERS 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 not just impressive in demos, but reliable in production. This role directly expands what the business can sell, deploy, and support. WHAT YOU'LL DO - 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 - Build production systems that can operate in trust-sensitive environments - Improve prompt, tool-use, orchestration, and evaluation systems - 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 WHO YOU ARE - 5+ years of software engineering experience - Experience building production software systems - Strong backend or full-stack engineering fundamentals - Experience with LLMs, agents, RAG, workflow orchestration, or AI products - Strong product sense and ability to work from ambiguous requirements - Comfortable working closely with domain experts and customers BONUS - 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