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AI-Powered Job Summary
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We’re looking for a senior full-stack engineer who enjoys solving complex problems, owning features end-to-end, and building software that finance teams trust with their most critical data.
What you’ll do
- Own and ship end-to-end product features across our React + TypeScript frontend and Node.js / Java backend
- Design and evolve clean, well-documented APIs and data models (PostgreSQL)
- Build and maintain secure, scalable integrations (e.g., ERP/accounting connectors)
- Improve performance of multi-dimensional reports, planners, and analytical workloads
- Develop background jobs, async processing, and data pipelines
- Contribute to architecture decisions, code reviews, and release planning
- Partner closely with Product, Design, and Customer teams to translate real finance workflows into intuitive product experiences
- Help evolve our platform to support AI-powered analysis and automation, with strong guardrails around accuracy and trust
- 5–8+ years building and shipping production SaaS applications
- Strong experience with React + TypeScript (hooks, state management, testing)
- Back-end strength in Node.js (TypeScript) and/or Java (Spring Boot)
- Solid SQL and data modeling skills (PostgreSQL); performance tuning experience a plus
- Experience with AWS, containers, CI/CD pipelines, and automated testing
- Security-first mindset: authN/authZ, least privilege, secrets management, input validation
- Comfort working in SOC 2–style environments or other regulated systems
- Clear communicator with strong ownership instincts — you finish what you start
- Integrating LLM-powered features (e.g., OpenAI, Azure OpenAI, Anthropic)
- Building AI workflows that query structured data safely and deterministically
- Experience with prompt design, evaluation, logging, and guardrails
- Using AI to enhance analytics, narrative insights, or decision support
- Experience with financial systems, accounting software, or ERP integrations (e.g., Sage Intacct)
- Familiarity with multi-entity / multi-dimension financial data models
- OLAP, analytics engines, or reporting systems experience
- GraphQL, event-driven systems, queues, or background workers
- Experience in a small, high-impact product team
- Practical code challenge
- Manager interview
- Culture & values conversation
- Offer
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Key Skills
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