Senior Engineer, AI

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.

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.

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.

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

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

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