Infrrd Benefits Overview

Build and own high-throughput Java backend services for mortgage document processing. Design asynchronous pipelines, LLM integrations, resilience and failover logic, and production observability. Optimize accuracy, latency, and cost while debugging production issues. Review code, write design documents, decompose features, and mentor junior engineers. The role requires strong concurrent Java architecture, Spring Boot microservices, NoSQL and relational databases, containerization, Kubernetes, and cloud experience.

Lead ML architecture for document extraction and LLM-powered pipelines. Design scalable production ML systems, set engineering standards, enable RAG/LLM optimization, build feedback loops, mitigate model drift and hallucinations, and mentor senior ML engineers while collaborating cross-functionally to deploy robust Document AI solutions.

Serve as the strategic Customer Success lead for enterprise mortgage clients, owning onboarding, configuration of document extraction models, workflow automation, regulatory compliance mapping, executive relationships, NRR/expansion targets, and product feedback. Coordinate implementation and engineering, run QBRs, maintain CRM hygiene, and drive measurable operational outcomes across origination, underwriting, servicing, and post-close processes.