Jobs at Infrrd

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.

Manage end-to-end employee lifecycle operations, including pre-onboarding, onboarding, offers, background verification, HR systems, records, compliance, and vendor coordination. Develop dashboards to monitor offer and verification metrics, resolve escalations, partner with Talent Acquisition, Compensation & Benefits, HR Business Partners, and Legal, and continuously improve processes for accuracy, efficiency, and employee experience.

Lead global marketing strategy and build a scalable marketing organization across demand generation, product marketing, brand, content, digital, and communications. Drive pipeline and predictable revenue through integrated programs (inbound, outbound, ABM, partner), partner with sales on ICP and messaging, own product positioning and launches, and build data-driven analytics, attribution, and marketing operations.

The Technical Architect (Java) will lead architecture and development of enterprise applications, guiding teams in building cloud-native and microservices solutions while ensuring best practices and mentoring developers.

Define end-to-end P&C claims processes, translate adjuster judgment into codifiable rules and data models, own product backlog and user stories, design rules/workflow logic from scratch, produce BRDs/FRDs and UAT scenarios, validate automated decisions against adjuster judgment, and train/manage change for claims staff.

The job involves selling AI and Machine Learning technologies to mortgage companies, managing the sales process for enterprise customers, and working with remote teams.

The Senior AI Systems Engineer builds automated systems for document extraction accuracy, develops evaluation pipelines, mentors junior engineers, and optimizes LLM processes.

Build and debug Python features and utilities for an intelligent document processing product, implement GenAI/LLM workflows (LangChain/OpenAI), design PGVector-based retrieval, create evaluators and test harnesses, instrument logs/metrics, triage and ship fixes, harden deployments, and maintain SOPs and runbooks for integrations and compliance-sensitive flows.