Job Description
ARC Intelligence delivers the next generation of financial intelligence to CFOs and finance teams. Our AI-powered platform consolidates data from ERPs, CRMs, spreadsheets, and other sources into a unified semantic layer—enabling automated reporting, forecasting, and insights.
We're looking for inventive engineers who thrive in a startup environment and want to shape a product that's redefining how companies harness financial data.
- End-to-End Ownership: Design, implement, and ship new features across the stack—from APIs and database schema changes to contributions to our agentic LLM system.
- Backend Development: Build and maintain Python services (Django REST or FastAPI), ensuring secure, scalable data access and business logic.
- Data Integration: Connect with third-party systems (ERPs, CRMs, authentication providers) and internal pipelines; guarantee data integrity and efficient synchronization.
- LLM & AI Features: Collaborate with our AI team to integrate large language models for natural-language querying and autonomous agents.
- Quality & Testing: Write and maintain unit, integration, and end-to-end tests; uphold code quality through CI/CD pipelines and reviews.
- Performance & Reliability: Monitor and optimize backend systems for responsiveness, stability, and scalability.
- Collaboration: Work closely with product managers, data engineers, and QA; mentor junior engineers and shape best practices.
Technical Skills
- 3+ years of experience building production services in Python (Django, Flask, or FastAPI).
- Strong SQL skills and experience with ORMs (SQLAlchemy, Django ORM).
- Track record of designing RESTful/GraphQL APIs and integrating third-party services (OAuth2, API keys).
- Exposure to LLM applications (ideally agentic systems and LLMOps).
Engineering Practices
- Proficiency with Git, CI/CD (GitHub Actions, GitLab CI), containerization (Docker), and cloud deployment (AWS, GCP, or Azure).
- Familiarity with testing frameworks, code reviews, and writing maintainable, well-documented code. Architecture & Systems
- Understanding of multi-tenant architectures, trade-offs between monoliths and microservices, and common design patterns.
- Experience working with cloud providers at scale.
Soft Skills
- Strong problem-solving mindset and clear communication in English (German a plus).
- Ability to thrive in a fast-paced startup and navigate ambiguity with confidence.
Nice to Have
- Knowledge of infrastructure as code (Terraform, CloudFormation).
- Previous experience with SaaS finance applications.
- Familiarity with AI/ML tooling (e.g., OpenAI Agents SDK).
- Competitive salary and equity package.
- Flexible hybrid work model.
- Learning budget for conferences, courses, and certifications.
- Modern tech stack with cutting-edge AI/ML tools.
- A collaborative culture with hackathons, lunch-and-learns, and offsites.