AI Engineer

Job Overview

We are seeking an AI Engineer with 1-3 years of experience who will work with our team to build and operate the AI products that power our Loan Origination System (LOS).

This role will focus on delivering
production-ready, auditable, and high-performance AI pipelines , supporting our continued growth as a SaaS business and strengthening internal processes, performance, and cross-team alignment.

Email Resume

The Mortgage Office (TMO) is the leading B2B fintech platform serving the private lending industry. Our software helps private lenders, fund managers, municipalities, and non-profits originate and service over $200 billion in loans with speed, compliance, and scale. With more than 1,400 customers and over 40 years in business, TMO continues to evolve its products to meet the growing complexity and innovation of private lending and we’re investing in a design-driven approach to elevate how our users work and deliver value to their clients.

• Build and maintain production-grade AI pipelines for document ingestion, OCR, and entity extraction.
• Use LLMs and retrieval-augmented techniques for accurate data classification, and apply rules and graph-based models to represent relationships between borrowers, entities, and assets
• Work with team to implement agentic in-app experience that enable users to interrogate, explore, and act on data insights
• Implement observability and feedback loops to monitor model performance, implement human-in-the-loop validation, and continuously improve accuracy over time.

• 1-3 years of professional experience building production-grade AI systems using large language models, agentic frameworks (e.g., Lang Chain, Pydantic
  
  AI), and retrieval-augmented generation (RAG) pipelines
• Strong proficiency in Python and applied ML frameworks such as Py Torch and Hugging Face
• Experience building APIs and data pipelines with a strong foundation in system design, testing, CI/CD, and cloud deployment
• Experience with prompt engineering, fine-tuning, and evaluation methods for improving real-world model performance

• Experience with knowledge graphs, recommendation engines, or rules engines
• Familiarity with AI observability and monitoring tools
• Good understanding of data pipelines, and model evaluation
  in real-world decisioning systems
• Collaborate with backend engineers to deploy AI models as low-latency, highly available microservices in the system.

• Competitive Salary and Benefits Package (commensurate with experience)
• Collaborative, team-oriented company culture
• 401K with company funded match
• Generous Paid Time Off plan
• Occasional travel to sunny Southern California headquarters
• Awesome company Christmas party

Attractive salary with performance bonuses.

Health coverage, retirement savings plan, and more.

Work with cutting-edge technologies in a collaborative setting.

Access to training and development programs to advance your career.

Contribute to solutions that are transforming the private lending industry.