Applied AI Engineer

About the Company

Valon’s mission is to empower every homeowner. We believe the journey of home ownership starts when you get your keys, but lasts far beyond. We’re creating a world where home ownership comes with ease, security, and financial know-how. Our growing team of engineers, operators, product enthusiasts, and experienced servicing professionals are leveraging technology to fundamentally improve the homeownership experience. Through mortgage servicing—the process of paying off one’s mortgage—Valon is taking the first step in transforming the industry one homeowner, and lender, at a time.

Engineering at Valon

We are building a world-class engineering team to automate one of the most regulated spaces in the financial sector - the mortgage and housing industry. We come from companies like Google, Facebook, Spotify, Oscar Health, and Twilio. You’ll join a small, tight-knit group of engineers who are developing flexible backend architecture to accurately handle billions of dollars at scale. In addition, our team of engineers is fulfilling Valon’s mission by creating a great user experience to help homeowners manage their mortgages through a platform that delivers new features quickly and with quality. Our tech stack is built on Python, React, Docker, Kubernetes, and Google Cloud Platform.

Responsibilities

• Lead the end-to-end development and deployment of AI systems for mortgage servicing products and workflows, including document classification, call center insights, and servicing specific agentic AI.
• Identify new opportunities to apply generative AI to enhance operational efficiency across the entire business.
• Oversee the architecture, training, and serving of open-source deep learning models using state-of-the-art infrastructure.
• Conduct applied product research to evaluate and integrate the latest LLM models and techniques into production systems.
• Ensure AI solutions adhere to regulatory standards.
• Mentor and guide team members, fostering an environment of continuous learning and innovation.

Ideal Background

• A proven track record of implementing generative AI solutions in production environments.
• Proficiency in tools and models such as OpenAI, Anthropic, Hugging Face, and human-in-the-loop platforms like Humanloop.
• Experience with full-stack development, particularly with Python, React, and GCP.
• 5+ years of industry experience in engineering with a strong focus on AI, particularly LLMs and related technologies.
• Strong problem-solving skills and excellent communication abilities.
• Strong ability to collaborate with product managers, founders, and the operational team to build and iterate on product-focused AI solutions.

Benefits

• Base Compensation …