• Design and manage complex multi-agent workflows • Architect state management for LLMs • Write, test, and version-control system instructions for LLMs • Design and implement moderation and security risk mitigation pipelines • Work closely with backend and frontend teams for seamless integration

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 Applied AI Engineer 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. Required Skills and Experience: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline. - Demonstrated experience as a backend software engineer with strong programming skills (Python preferred; experience with Ruby or Go is a plus). - Proven ability to design and develop scalable backend systems, APIs, and distributed services. - Strong understanding of cloud infrastructure and platforms, container orchestration, and deployment pipelines. - Strong knowledge of AI ecosystem components including major foundational model providers, AI APIs, data pipelines, and orchestration frameworks. - Practical expertise in integrating third-party AI services and managing complex dependencies in multi-stack environments. - Effective problem solver with a test-and-learn mindset, capable of rapid prototyping and iterative development. - Excellent communication skills to present technical concepts clearly to both technical and business stakeholders. Preferred Skills - Familiarity with AI tools and frameworks like AWS Bedrock, Langchain, vector databases, or similar AI orchestration technologies. - Experience with automation, knowledge systems, and backend optimization related to AI-driven processes. - Understanding of responsible AI principles, data privacy, and system reliability considerations. - Experience in building APIs and backend components for real-time or near-real-time AI applications. Total Rewards: Additionally, we offer a comprehensive total rewards package, including but not limited to: medical, dental, vision, commuter benefits, a flexible time-off policy, paid parental leave, 401k match for US employees, wellness reimbursement, volunteering days, annual professional development budget, and charitable donation match. Forward is proud to be a remote-first company, keeping workplace flexibility a top priority for our employees. As a business, we are focused on impact; we are more concerned with your contributions to the success of the company than where you get your work done. To help facilitate in-person collaboration, employees are welcome to work from one of our premiere office locations. When we aren’t collaborating to drive business and support our customers, we’re finding virtual and in-person ways to get to know our colleagues, celebrate team wins, and have fun together! Forward Financing Core Values: - Drive the Mission - We believe in financial opportunity for underserved small businesses. We say “yes” when others say “no.” - Keep It Real - We value direct communication, candid feedback, and authenticity. We are an open book. - Act with Kindness - We create an environment where caring is cool and helping is the norm. We do the right thing. - Shoot for Extraordinary - We are inspired by innovative thinking and continuous improvement. We never settle for yesterday’s best. About Us: Forward Financing is a fintech 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. Whether facing challenges accessing traditional financing or simply needing a convenient, flexible solution, Forward is committed to funding more of the millions of small businesses nationwide. By simplifying the requirements, streamlining the process, and using advanced proprietary technology, Forward is often able to deliver approvals within hours and funds that same day – giving more businesses the financial opportunity they need to thrive. Plus, with their dedicated teams and award-winning service, customers get personalized support when they need it most. Since 2012, Forward has expanded access to capital by providing over $4.5 billion in funding to more than 87,000 small businesses. The company is A+ rated by the Better Business Bureau with an Excellent / 4.6 stars rating on Trustpilot.com. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is dedicated to empowering both its team and the customers they serve, helping them succeed and thrive. US Equal Opportunity Employment Information Forward Financing is proud to be an equal opportunity employer, and is committed to fostering a fair and inclusive culture built on a foundation of high performance and exceptional customer experience. With a laser focus on employee impact, we’re able to reduce biases and ensure the right people are in the right jobs to contribute to our mission. The varied perspectives of our people fuel innovation and make us a stronger team. By embracing what makes each of us unique, we create a supportive environment where people feel valued, accepted, and empowered to thrive. California Employee Privacy Policy

• Design and develop AI Agents leveraging modern frameworks such as LangGraph and Model Context Protocol (MCP) to support SAP use cases. • Build and enhance the AI Agent experience layer using tools such as CopilotKit, Vercel AI SDK, or equivalent frameworks. • Enable and support cloud infrastructure (AWS or Azure) for AI Agent deployment, scalability, and secure operations. • Develop AI coding assets and MCP-based integrations to support the AI SDLC for SAP, including tooling and automation frameworks. • Design and implement SAP integrations using OData services, Function Modules, and CDS views. • Collaborate with SAP Basis teams to support system connectivity, transports, performance, and access management. • Work with SAP data structures to enable accurate context retrieval, analysis, and automation. • Integrate AI solutions with SAP incident and ticketing processes (e.g., ServiceNow) to support diagnostics, triage, and resolution workflows. • Partner closely with Technical Product Managers, SAP functional teams, and Managed Services stakeholders to deliver production-ready AI solutions.

• Configure a chat client (VSCode) to interact with the configured MCP Server(s) • Create new MCP Tools to capture needed metrics from the running server • Create a database with vectorized Knowledge Base documents using the HCL Vector blade for HCL Informix, • Implement the RAG workflow using the HCL Informix database, Actian MCP for HCL Informix, and the Actian HCL Vector Blade for HCL Informix.