Design, build, and own end-to-end features for AI-powered finance agents and agent orchestration. Implement integrations with accounting and payment platforms, create dashboards and reporting, ensure security and data integrity, make architectural choices, monitor production, and drive AI-assisted, agentic development workflows.
Who are we?
Who are we searching for?
The team
What will you build?
What are your responsibilities?
What are the preferred requirements for the role?
Will be a plus:
This role won't fit if:
Recruitment Process:
Why work with us?
Fuelfinance is on a mission to revolutionize financial management for early-stage startups, empowering them to take control of their finances and thrive. We recently raised $1M in Seed Funding from top-tier investors like Markus Villig (Bolt), John S. Kim (SendBird), Stratmind, and Bad Ideas funds, following 3 years of profitable, bootstrapped success. Trusted by businesses with over $200M in P&L, including Reface, Petcube, and Hampton, we've built a universal tool that brings clarity and insight to finance management.
With 38% of startups failing due to cash flow issues, our goal is to prevent these failures and unlock trillions in GDP growth. At Fuelfinance, we're not just creating software — we're safeguarding the future of thousands of startups. Join us and be part of this impact!
fuelfinance.me
www.instagram.com/fuelfinance
youtu.be/eI5VH2Ks9o4
Who are we searching for?
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.
You'll join a team of 4 engineers, 1 QA, and a Product Owner, reporting to the Head of Engineering.
- 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 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
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 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
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
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