Founding AI Engineer for Autonomous Loan Origination

a16z-speedrun; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

a16z-speedrun is building an autonomous loan origination and processing platform for commercial real estate lenders. We seek a founding AI/ML engineer to own the intelligent systems at the heart of our product, working directly with the founders and customers and handling data, model selection, evaluation, serving, monitoring, and iteration.

You'll ship production AI systems, develop models for structured and unstructured financial data, design evaluation methods, and build ML infrastructure.

Qualifications

• You have shipped ML systems used by real users.
• Strong software engineering fundamentals beyond notebooks.
• Experience evaluating, adapting, and operating modern models in production.
• Solid judgment on model quality, latency, and cost.
• Pragmatic approach using simple solutions.
• Proficiency with AI coding agents.
• Willing to live in San Francisco and work in person.

Responsibilities

• Build production AI systems for complex, high-stakes workflows
• Develop models and pipelines for understanding unstructured and structured financial data
• Design evaluation systems that measure quality, reliability, latency, and cost
• Build feedback loops turning customer usage into better models and products
• Decide when to use foundation models, specialized models, deterministic systems, or a mix
• Ship constantly, observe real-world performance, and iterate with customers
• Establish the ML infrastructure and standards that future hires inherit

Skills

Shipped ML systems

Software engineering fundamentals

Python

PyTorch

Model serving

LLMs

Retrieval

Document intelligence

Multimodal systems

AI coding agents

Job description

a16z-speedrun is building an autonomous loan origination and processing platform for commercial real estate lenders. We seek a founding AI/ML engineer to own the intelligent systems at the heart of our product, working directly with the founders and customers and handling data, model selection, evaluation, serving, monitoring, and iteration.

You'll ship production AI systems, develop models for structured and unstructured financial data, design evaluation methods, and build ML infrastructure.