Senior Software Developer US Instant Payments Location 100% Remote (Ontario, Canada) Join Form3’s US engineering business line and contribute to the development of our US gateway products, each built around a real-time payment scheme such as FedNow or TCH RTP. Reporting to the Lead Engineer and supported by our Staff Engineers, you will play a key role in building mission-critical systems that we believe will transform how payments are made in the US. Come and play a significant role in building critical systems that we believe will change the way the US makes payments! On a day-to-day basis, you will contribute to feature development, system design and testing; manage and enhance our infrastructure; and support daily product operations, including participation in the on-call rotation. US gateways are built on top of Form3’s cutting-edge multi-cloud platform and are in advance stages of development, ready to onboard first customers. As a Senior Software Engineer in a gateway team, you will play a crucial role in making it happen. WE’RE LOOKING FOR Our ideal candidate: - Has a deep understanding of designing and building distributed systems - Enjoys working on complex challenges within critical software where high performance and robustness are essential - Is familiar with cloud and containerisation technologies, test automation tools and CI/CD pipelines - Expresses interest in owning projects end-to-end and supporting them as they go live in production - Has appreciation of clean code and software engineering best-practice - Is experienced in programming in Go but also demonstrates a “right tool for the job” mentality - Possesses great communication skills and enjoys sharing knowledge and collaborating with others TECH STACK - Infrastructure: AWS, GCP, Kubernetes - Platform: CockroachDB, Elasticsearch, Vault, NATS - Tools: Terraform, GitHub, Prometheus, Tilt - Code: Go (and a little Java), containerised microservices, CQRS, open-source - Ways of working: TDD/BDD, Pair Programming, 100% remote, SecDevOps THE TEAM The USA business line consists of engineers distributed in two teams. We are spread across multiple time zones in Europe and the Americas and therefore we highly value asynchronous communication. We give engineers autonomy to choose the right solutions for the problems they face and drive technical design. We encourage collaboration, make key decisions as a group and own our solutions end-to-end. We also keep close relationships with our Product colleagues who are domain experts in US payments. Our current focus is to complete functional build and prepare for Form3’s US products’ go-lives, targeted for Autumn 2025 – we are excited to show our products to the world! We are able to accept applications from the following countries; Canada (Ontario only)

• Lead end-to-end design and delivery of AI modules — from architecture to production deployment — for complex, multi-component features, leveraging GCP and Microsoft AI ecosystem capabilities • Define LLM integration patterns, RAG strategies, and data pipeline architectures; own technical quality and performance of these systems. • Act as the primary technical interface with cross-functional stakeholders; participate in requirements workshops and solution demos. • Drive design reviews, establish engineering standards, and actively mentor engineers on the team. • Identify and address technical debt, reliability risks, and scalability bottlenecks proactively. • Deliver agentic automation solutions across enterprise use cases

• Develop high-quality software solutions based on business requirements • Collaborate with cross-functional teams to define, design, and ship new features • Maintain and enhance existing software applications • Troubleshoot and debug software issues to ensure optimal performance • Conduct thorough testing and quality assurance of software applications • Stay up-to-date with emerging technologies and industry trends • Participate in code reviews to ensure code quality and adherence to best practices • Provide technical support and guidance to team members and stakeholders • Act with integrity, professionalism, and personal responsibility to uphold the firm’s respectful and courteous work environment.

Role Description As a Fullstack AI Engineer, you will play a key role in the full development lifecycle of a high-impact Generative AI MVP, translating complex architectural requirements into technical solutions. You will be responsible for building the bridge between Azure AI Foundry agents and the end-user, developing robust APIs, integrating RAG (Retrieval-Augmented Generation) pipelines, and implementing a simplified frontend. Beyond technical execution, you will collaborate closely with an AI Specialist and stakeholders to ensure the delivery of an explainable and compliant solution within an Agile framework. Responsibilities and Duties - Digest requirements from the architecture and product team to specify the implementation of new features from a fullstack and AI-integration perspective. - Implement the designed solution from coding to testing, focusing on Azure Functions, API development, and agentic workflows. - Follow Agile processes and participate actively in all development phases to ensure a functional MVP within 3 months. - Development of new features, including data connectors for Excel/Word and tool orchestration for LLM agents. - Design and maintain the application's frontend to provide a seamless interface for "Well Engineers". - Participate in the complete cycle of development from requirements gathering, RAG data ingestion, to final deployment. - Participate in technical discussions, demonstrations, and reviews with customers (Halliburton/Petrobras context). Qualifications - Solid Experience with Python (preferred) or Node.js. - Frameworks: ReactJS for frontend development. - AI Integration: Experience with LangChain, Semantic Kernel, or similar LLM orchestration frameworks. - Cloud Knowledge: Solid experience with Azure (Functions, App Service, and Blob Storage). - API Development: Experience with REST APIs and integrating third-party AI services. - Data Handling: Experience processing structured and unstructured data (Excel/Word) for AI consumption. - Solid experience with Git. Highly Desirable Skills - Experience with Azure AI Foundry and Azure AI Search. - Knowledge of Vector Databases and RAG architectures. - Experience with automated testing (Unit, Integration) for AI-driven applications. - Familiarity with AI Observability tools (Tracing, Prompt Logging). - Experience with Tailwind CSS or fast prototyping UI libraries. - Knowledge of Docker and CI/CD pipelines within Azure DevOps. Posted On May 20, 2026 Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.