Lead AI Product Engineer

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 design it, you lead the team that builds it, and you write code yourself.

What you'll do

• 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
• Predictive and machine learning models where they serve the product better than an agent does

What you need

• 10–14 yrs of experience
• Machine learning
• Python
• LLMs
• Databricks
• Credit risk
• Next.js
• Any graduate

Good to have

• Accounts receivable
• FastAPI
• PostgreSQL
• Azure