Full Stack Engineer

ABOUT THE COMPANY

We are building an AI-powered platform that transforms credit origination by automating manual bottlenecks and enabling lenders to process more loans with greater accuracy and lower risk. Our mission is to revolutionize the $3 trillion+ asset-based finance market through advanced AI technology, deep industry expertise, and strategic partnerships.

THE OPPORTUNITY

Join us at an exciting stage of growth as we build and scale an enterprise-grade financial technology platform. As a Full Stack Engineer, you will play an important role in developing key platform features, including a proprietary decisioning system, robust data security for AI applications, and advanced document-parsing tools. Your work will help automate document verification, data extraction, and decision-support workflows. You will collaborate with experienced engineers in a fast-paced, product-focused environment, working with technologies such as Node.js, PostgreSQL, Python, and React.

KEY RESPONSIBILITIES

Full Stack Development:

- Design, develop, and maintain full-stack web applications using Node.js, Python, PostgreSQL, GraphQL, and React.

- Build scalable, reliable, and maintainable application features.

- Develop responsive and efficient user interfaces integrated with robust backend services.

AI and Document Processing:

- Build Python-based AI pipelines to automate document processing and underwriting workflows.

- Contribute to document verification, data extraction, and decision-support capabilities.

- Support the integration of AI-powered features into the core platform.

Collaboration and Product Development:

- Collaborate with product and engineering teams to translate user requirements into scalable, efficient code.

- Participate in technical discussions and contribute to feature planning and implementation.

- Work closely with team members to deliver high-quality product features.

Performance and Scalability:

- Optimize application performance and ensure efficient data flow and real-time functionality.

- Identify and resolve technical issues across the application stack.

- Contribute to architectural decisions that support platform scalability and long-term growth.

Code Quality and Deployment:

- Participate in code reviews, testing, debugging, and deployment.

- Follow software development best practices to ensure code quality, reliability, and maintainability.

- Contribute to CI/CD pipelines and application deployment processes.

REQUIRED QUALIFICATIONS

- 3+ years of professional experience as a Full Stack Engineer.

- Strong proficiency in Node.js and PostgreSQL, with experience in Python and hands-on experience with React.

- Strong understanding of backend development, including RESTful APIs, microservices, and database design.

- Proficiency in CI/CD pipelines and familiarity with cloud infrastructure.

- Strong problem-solving and analytical skills.

- Ability to work independently, take ownership of tasks, and thrive in a dynamic, fast-paced startup environment.

- Excellent collaboration and communication skills.

NICE-TO-HAVE SKILLS

- Experience with AWS or other cloud platforms.

- Familiarity with GraphQL and scalable application architectures.

- Experience integrating AI capabilities into software applications.

- Exposure to document processing, financial technology, or automated underwriting workflows.

WHY JOIN US?

- Build Impactful AI Technology: Work on an AI-powered platform addressing real-world challenges in financial services and credit origination.

- Learn from Experienced Engineers: Collaborate with an experienced founding team and engineers with strong technical backgrounds.

- Take Ownership and Make an Impact: Contribute to important product features and technical decisions while helping build a scalable enterprise platform.

- Grow with a High-Growth Startup: Work in a collaborative, fast-paced environment that encourages innovation, continuous learning, and professional growth.

- Shape the Future of Financial Technology: Help transform document processing, underwriting, and credit decisioning through modern software engineering and AI integration.