Senior Full-Stack Developer

Location: Remote

Department: R&D

Location Type: REMOTE

Employment Type: FULL_TIME

Who are we?

Who are we searching for?

The team

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

What are your 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 theyre 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

What are the preferred requirements for the role?

• 6+ years of software engineering experience with real depth 
• Proficiency with AI-assisted development (a must) — not just chat-based usage: you know how to build agentic coding workflows, feed the right codebase context to models, and verify AI output with end-to-end testing
• 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

Will be a plus:

• 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 wont fit if:

• You wait for clarity instead of creating it
• AI tooling is something youve 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

Why work with us?

• 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