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.