Role Description We're looking for a Senior Full-Stack Developer to help build the next generation of our product: AI-powered finance agents that automate financial workflows for startups and SMBs. You'll join at the moment this transition is happening — the work is greenfield, fast-moving, and shipped to real paying customers. You'll own features end-to-end across the stack, from architecture decisions to production monitoring, and build with AI as your default workflow. This isn't a role for someone who waits for tickets; it's for an engineer who spots problems, proposes solutions, and ships. The Team - You'll join a team of 4 engineers, 1 QA, and a Product Owner. - Reporting to the Head of Engineering. What Will You Build? - AI finance agents: forecasting, financial analytics, automated workflows. - MCP infrastructure and the agent orchestration layer. - Integrations with accounting platforms, banks, and payment systems (QuickBooks, Xero, Stripe). - Dashboards, access controls, and reporting infrastructure. Responsibilities - Design, build, and own features end-to-end across the stack — from architecture decisions to production monitoring. - Build with AI as your default workflow: agentic coding tools with proper codebase context and end-to-end test verification. - Develop agentic AI workflows: LLM-powered features with proper context management, tool use, and automated end-to-end testing. - Make pragmatic technology choices and defend them — weighing cost, speed, and long-term maintainability. - Identify problems and propose solutions before they're assigned to you. - Keep security and data integrity at the core of everything. - Estimate, communicate risks early, and ship fast without cutting corners that matter. Qualifications - 6+ years of software engineering experience with real depth. - Proficiency with AI-assisted development (a must). - Proficiency in both frontend and backend development: TypeScript, Node.js (Nest.js), React, SQL, MongoDB. - AWS knowledge. - B2/C1 English level. - Experience enhancing system and infrastructure security. - Proactive approach. - Comfortable with startup mode: shifting priorities, fast pace, high ownership. Preferred Requirements - Experience with LLM APIs in production (Anthropic, OpenAI), RAG. - Fintech background or experience on security-focused projects. - Knowledge of one of the following: C#, Java, Go, Python. - Early-stage startup experience. - Experience with infrastructure setup. This Role Won't Fit If: - You wait for clarity instead of creating it. - AI tooling is something you've read about rather than used daily. - You prefer a stable roadmap over shifting priorities and high ownership. Recruitment Process - Soft skills interview with the recruiter. - System Design & Experience Review with the Head of Engineering. - Culture fit interview with the VP of Operations. - Final Interview with the CEO. Benefits - Build the future of finance work — design AI-native finance products, not just maintain them. - Rapid skills improvement. - Growth opportunities according to our seniority grading (it comes with a compensation increase). - Flexible schedule and time-off policy. - 18 days of paid vacation per year, paid sick leaves.

• As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users that are trading billions of dollars worth of assets daily. • The payments team is responsible for building and maintaining a modern global payments and treasury platform. Operating in an industry in which money movement is a critical component, we adopt a modern technology focused approach with highly scalable, event-driven systems. • We have ambitious plans to build a seamlessly integrated comprehensive treasury platform into an industry leading end-to-end financial infrastructure on a global scale.

• Diseñar, desarrollar y desplegar aplicaciones web funcionales tanto en la interfaz de usuario (Frontend) como en la lógica del servidor (Backend) • Trabajar de forma independiente y resolutiva • Integrar APIs RESTful y GraphQL de manera eficiente • Colaborar con diseñadores, DevOps y otros desarrolladores utilizando metodologías ágiles como Scrum

• Mitarbeit in Kundenprojekten zur Entwicklung datengetriebener Anwendungen und KI-Lösungen, von der Idee bis zum produktiven Einsatz • Anbindung von Datenquellen und Verarbeitung von Daten • Design, Optimierung und Kommunikation von Softwarearchitekturen, insbesondere von Microservices im Kontext von KI • Sicherstellung der Skalierbarkeit, Performance und des stabilen Betriebs von KI-Lösungen • Entwicklung und Optimierung von CI/CD-Pipelines in Produktivumgebungen • Mitwirkung bei der Qualitätssicherung durch automatisierte Tests, Code Reviews und Continuous Integration • Unterstützung unserer internen IT