Applied AI Engineer

Valon; San Francisco, California, New York (CA, MO, NY); On-site; USD 185,000 - 325,000; Full time

Job summary

An established industry player is seeking a talented AI Engineer to join their innovative team in transforming the mortgage servicing landscape. This role involves leading the development of cutting-edge AI systems and enhancing operational efficiency through generative AI. You’ll collaborate with a diverse group of professionals, leveraging your expertise in Python, React, and cloud technologies to create impactful solutions. With a commitment to employee well-being and a flexible work environment, this opportunity promises not just career growth but also a chance to make a significant difference in the lives of homeowners. If you are passionate about AI and eager to contribute to a mission-driven organization, this is the perfect role for you.

Benefits

Comprehensive medical, dental, & vision benefits

401k plan

Pre-tax commuter benefits

Flexible paid time off

12 weeks paid baby bonding time

Quarterly team outings

Learning & development opportunities

Qualifications

• 5+ years of experience in engineering with a focus on AI and LLMs.
• Proven track record of implementing generative AI solutions.

Responsibilities

• Lead development of AI systems for mortgage servicing products.
• Mentor team members and foster continuous learning.

Skills

Generative AI

Deep Learning

Python

React

Problem-Solving

Communication

Tools

OpenAI

Hugging Face

Humanloop

Google Cloud Platform

Job description

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.

Our headquarters are in New York City, and this year, we’re excited to open a new office in San Francisco. Plus, we fully support remote work!

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.

Compensation and Benefits

• Base Compensation Band: $185,000-$325,000. This band spans multiple levels of seniority, which will be narrowed during the interview process.
• Compensation: competitive salary with a meaningful stake in the company via equity, and 401k plan
• Health & well-being: we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits
• Commuter benefits: We offer pre-tax deductions for public transportation, rideshare services, and parking expenses to make your commute more affordable and convenient.
• Grow together: Company wide orientation for you to successfully onboard and other learning & development opportunities including regular review cycles that feature 360 degree feedback
• Play together: quarterly budgets for team and company outings. Use it for team swag, cooking classes, or team dinners!
• Generous time off: flexible paid time off, sick days, and 11 company holidays
• Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition

Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Apply for this job

* indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Website

Who is your current direct manager? *

Please write the full name of your current direct manager (First Name + Last Name). We require this so we can work with your manager to review if you are eligible for an internal transfer.