The company aims to redefine large-scale audits using agentic AI to enhance quality and efficiency while significantly reducing costs and time.
The vision is to become the gold-standard AI auditor for enterprises, facilitating faster and higher-quality audits through automated agentic reasoning systems.
The key responsibilities include architecting and building agentic AI systems for audit automation, processing and structuring massive PDFs and Excel datasets, running real-time experiments to optimize reliability, building scalable and error-resistant infrastructure, and collaborating cross-functionally to align technical design with product goals.
Requirements:
Proficiency in Python and TypeScript is required.
Experience with large language models (LLMs) and agentic AI is necessary.
Familiarity with AWS, Docker, distributed systems, and data pipelines is essential.
Candidates should have a background as a founding engineer at an AI startup, particularly in disrupting audits.
The role demands the ability to have a direct product impact with Fortune 500 clients.
High autonomy in building 0→1 systems is expected.
Benefits:
The position offers generous equity and top-tier compensation.
Employees will have the opportunity to work with MIT founders on developing agentic AI systems.
The role provides a chance to make a significant impact in the field of audit automation.
