Full Stack Engineer - $81.73 - $144.23 per hour

About the Role

This opportunity is for a Senior Software Engineer - Full Stack to build and scale AI-native software that automates complex mortgage workflows. The role combines full-stack product development, distributed systems, infrastructure, data architecture, third-party integrations, and mission-critical AI agents. You will own complex initiatives from architecture through production deployment, contribute across frontend and backend systems, and help improve the reliability, observability, security, and scalability of a high-throughput cloud platform.

What You’ll Do

• AI Product Development
  • Build, and launch complex, multi-step AI agents that automate operational workflows.
  • Transform non-deterministic LLM behavior into dependable, mission-critical product capabilities.
• Full-Stack Engineering
  • Design and develop full-stack web application features from initial product design through deployment.
  • Create responsive frontend experiences using React and TypeScript.
  • Develop scalable backend services using Node.js, Express, TypeScript, GraphQL, and Apollo.
  • Create readable, maintainable, and effective architecture patterns that support enterprise customers.
• Integrations and Data Systems
  • Integrate with third-party lending service APIs for document generation, disclosures, automated underwriting, fraud prevention, and related workflows.
  • Design and scale complex PostgreSQL schemas containing large volumes of detailed loan data.
  • Develop performant approaches for storing, retrieving, and updating complex relational data.
  • Use generated TypeScript types from PostgreSQL and GraphQL schemas to maintain end-to-end type safety.
• Cloud Infrastructure and Reliability
  • Architect, build, and launch cloud-based job processing infrastructure on AWS.
  • Improve backend observability, reliability, scalability, and operational efficiency.
  • Build and operate distributed systems using AWS services including ECS, RDS, ElastiCache, Kafka, and Elasticsearch.
  • Manage infrastructure as code using Terraform.
  • Support automated deployment of temporary staging environments for pull requests.
  • Apply an SRE-oriented mindset to create infrastructure that is reliable, observable, and requires minimal maintenance.
• Testing, Security, and Quality
  • Use production-like test data and automated end-to-end, integration, and performance testing utilities.
  • Maintain a strong focus on application security and the protection of sensitive personal data.
  • Balance engineering speed with reliability, maintainability, and high system availability.
  • Contribute product ideas and consider the broader user and business impact of technical decisions.
• Leadership and Collaboration
  • Lead mission-critical engineering projects and contribute to technical direction.
  • Collaborate across product and engineering functions to deliver scalable, user-focused solutions.
  • Mentor less experienced engineers in technical and professional skills.
  • Communicate openly about technical decisions, challenges, outcomes, and lessons learned.

Qualifications

• Experience architecting and delivering complex full-stack web application features from design through deployment.
• Strong TypeScript experience across frontend and backend systems.
• Experience building modern frontend applications with React.
• Experience developing backend services with Node.js, Express, GraphQL, and Apollo.
• Experience designing and integrating third-party APIs.
• Experience building scalable relational database schemas and optimizing complex data access patterns.
• Experience with PostgreSQL or comparable relational database technologies.
• Experience building and scaling distributed systems in cloud environments.
• Experience with AWS infrastructure and containerized applications.
• Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
• Strong understanding of system reliability, observability, security, and maintainability.
• Ability to build readable, maintainable software architecture for enterprise use cases.
• Product-oriented mindset with the ability to consider user experience and business outcomes.
• Interest in mentoring less experienced engineers.

Preferred Experience

• Familiarity with modern AI product development lifecycles, including evaluations, experiment design, and dataset curation.
• Experience building reliable, multi-step AI agents or other LLM-powered systems.
• Experience scaling high-throughput distributed systems.
• Strong security awareness when working with sensitive personal or financial data.
• SRE-oriented experience building highly observable and low-maintenance infrastructure.

Salary Range

$170,000-$300,000 per year

Compensation Note: Final compensation depends on the candidate’s location and the level at which they are hired.

Benefits

• Medical coverage with 100% of employee and family premiums covered
• Dental and vision coverage
• 401(k) plan
• HSA and FSA options
• Access to a lender partner employee loan program
• Remote-first work environment
• Flexible paid time off