AI Engineer

The Mortgage Office

Mid-level AI Engineer building and maintaining production-grade AI pipelines for loan management technology. Collaborate with teams to improve AI systems and enhance operational performance.

Posted 4/12/2026full-timeSan Mateo • California • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

5+ years of experience (after graduation from last school/college)
1–3 years of professional experience building production-grade AI systems using large language models, agentic frameworks (e.g., LangChain, PydanticAI), and retrieval-augmented generation (RAG) pipelines
Strong proficiency in Python and applied ML frameworks such as PyTorch 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.

Benefits

Comp & perks

Comprehensive health, dental, and vision coverage.
401(k) with company funded match.
Competitive compensation and room for professional growth.
Performance-based bonuses.
Generous PTO.
Modern workspace with on-site amenities.
Awesome company Christmas party.

ATS Keywords

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Hard Skills & Tools

Pythonmachine learninglarge language modelsagentic frameworksLangChainPydanticAIretrieval-augmented generationAPIsdata pipelinessystem design