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 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 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 not just impressive in demos, but 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
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 Are5+ 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
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