Software Engineer

Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican Republic, and Canada. The company is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is investing in its employees, technology, and customer experience – with long-term success in mind every step of the way.

Role Overview

The Staff Software Engineer - Applied AI will architect and develop systems, tools and agents that leverage existing foundational AI models and deliver impactful AI-powered solutions. This role requires an expert generalist with deep technical skills who can integrate AI capabilities across diverse technology stacks and platforms. The engineer will work in a fast-paced innovation lab environment driving test-and-learn experiments, focusing on system design, scalability, and seamless AI service integration. You will be empowered to drive change by translating business needs into technical implementations that unlock business potential. You will be part of an innovation team that will be tasked with experimentation and developing proof of concept solutions to solve some of the company's most exciting problems and to capture significant business opportunities.

In this role you will:

• Translate high-level business problems into functional AI solutions by creating and executing end-to-end solutions..

• Design, build, and maintain backend services and APIs that deploy and integrate AI-powered features using existing foundational models (e.g., OpenAI, Claude, Hugging Face, etc.).

• Implement scalable, reliable, and maintainable backend architecture supporting AI workflows, automation, and data processing pipelines.

• Integrate AI services into complex technology stacks, ensuring interoperability with microservices, AWS platform, and data systems (Snowflake).

• Enable rapid test-and-learn cycles by building experimentation frameworks that support iterative deployment of AI-driven functionalities.

• Collaborate closely with cross-functional teams including product managers, data scientists, and frontend engineers to translate business needs into technical implementations.

• Stay abreast of the AI ecosystem, frameworks, and tools to guide implementation decisions and technical evaluations for adopting new AI capabilities.

• Document backend system designs, APIs, workflows, and integration patterns clearly for team knowledge sharing and operational continuity.