Backed by Y Combinator.
About the role
Cogentiq I2C is Fractal’s agentic AI Product for invoice-to-cash, covering Collections, Cash Application, Deductions, Invoice Management and Credit Risk. It runs on a Next.js front end, a FastAPI service layer, the Cogentiq agentic runtime, and a data tier on Azure Databricks with PostgreSQL. You own the AI side: the agents, the models and everything that makes them accurate and dependable in front of a finance team. You design it, you lead the team that builds it, and you write code yourself.
What they're looking for
- Ten to fourteen years in AI, machine learning or software, with at least three leading a team
- Track record of owning technical design, not only implementing someone else’s design
- Production experience with LLM and agentic systems: multi-step workflows, tool use, orchestration frameworks, and the failure modes that only appear at scale
- Real evaluation discipline. Evidence that you have measured agent quality with something more rigorous than manual spot checks
- Strong Python engineering. Your team ships production code, not notebooks
- Document understanding and information extraction experience, ideally on messy real-world inputs such as emails, remittance advices and attachments
More about this role
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Cogentiq I2C is Fractal’s agentic AI Product for invoice-to-cash, covering Collections, Cash Application, Deductions, Invoice Management and Credit Risk. It runs on a Next.js front end, a FastAPI service layer, the Cogentiq agentic runtime, and a data tier on Azure Databricks with PostgreSQL.
You own the AI side: the agents, the models and everything that makes them accurate and dependable in front of a finance team. You design it, you lead the team that builds it, and you write code yourself.
- Technical design of the AI side: agent decomposition, orchestration patterns, tool design, memory and context strategy.
- The agents across all five modules, from document extraction and matching through to the reasoning steps behind a recommendation.
- Accuracy and reliability. Evaluation sets, regression suites, and a defensible number for how well each agent performs before it ships.
- Guardrails and human oversight: confidence thresholds, escalation to a person, audit trails, and traceable reasoning for any decision touching cash.
-...
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