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 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