About the Role
The Advisor Production team is building AI systems that automate accounting production for accounting professionals. Our agentic pipeline is live in production, analyzing invoices and proposing double-entry accounting entries for CPA validation. We are expanding the platform to additional countries, starting with Denmark. Our engineering culture values strong conventions, high ownership, and production-grade AI engineering.
Responsibilities
- Building and maintaining AI agents for document parsing, VAT resolution, account selection, and other accounting workflows using structured outputs and clear contracts.
- Designing and operating production-grade AI workflows with robust orchestration, tool calling, retries, and failure handling.
- Integrating LLM APIs with typed schemas while optimizing for quality, latency, and token cost.
- Writing integration tests and evaluation suites to continuously measure and improve agent performance.
- Instrumenting the production pipeline with traces, structured logs, and monitoring to quickly diagnose issues.
- Extending our multi-country accounting logic without duplicating business rules.
- Collaborating closely with Product Managers and CPAs to understand accounting edge cases and continuously improve agent quality.
- Contributing to the CPA feedback loop by transforming manual corrections into reusable rules and smarter automation.
- Helping shape the architecture of our AI platform as we expand across Europe.
Requirements
- 4+ years of experience building and operating production backend systems.
- Strong backend engineering skills with TypeScript / Node.js (NestJS is a strong plus).
- Experience building or operating AI agent workflows in production, including orchestration, tool calling, structured outputs, retries, and error handling.
- Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) with careful consideration of schemas, latency, costs, and failure modes.
- Deep care for software quality through testing, observability, and evaluation frameworks.
- Ability to write rigorous, strongly typed code with disciplined error handling.
- Comfortable working across prompt engineering, backend services, queues, databases, and infrastructure.
- Strong ownership, excellent written communication, and enjoyment of collaboration with engineers, product managers, and accounting experts.
- Curiosity and skepticism about LLMs, viewing them as probabilistic systems that must be constrained, measured, and continuously improved.
- Detail-oriented with an understanding that correctness matters in accounting.
- Professionally fluent in English.
Skills
- TypeScript
- Node.js
- NestJS
- AI agents
- LLM APIs
- Prompt engineering
- Backend services
- Orchestration
- Tool calling
- Structured outputs
- Error handling
- Testing
- Observability
- Evaluation frameworks
- Event-driven architectures
- PostgreSQL
- pgvector
- Nx monorepos
- Datadog
- Langfuse
Location
- Berlin
- Copenhagen
- Amsterdam
Work Type
- Remote (up to two days per week)
Experience Level
- 4+ years
About the Company
- Shine is the financial copilot for entrepreneurs and small business owners.
- Founded by serial entrepreneurs Rico Andersen and Martin Hegelund, Shine is a leading European fintech unicorn on a mission to restore the joy of running a business, by ending wasted time on financial admin.
- Shine offers a connected solution for invoicing, accounting, payroll, business accounts, payments, and financing.
- Part of Cegid, a European leader in cloud software for finance and accounting, building Europe's leading financial copilot for small businesses and their accountants.
- Shine already supports more than 400,000 small businesses. As part of Cegid, we now reach over one million small businesses and 15,000 accountants across Europe.
- We're a multicultural team working from France, Germany, Denmark and the Netherlands, contributing to a wider European network that spans Spain, Portugal and Belgium.
Equal Opportunity
- We follow the principle of equal treatment to consider all job applicants and do not discriminate based on their gender, sexual orientation, color, racial or ethnic origin, religion, disability, etc. as per applicable law.
