Full Stack Engineer

Nooxit is building the next generation of AI-powered finance process automation for medium and large enterprises. We're looking for a Full Stack Engineer who wants to build things that matter and will work across the stack to develop, improve, and scale cloud-native applications. You'll have the chance to make meaningful contributions to both the product and the engineering culture as we grow.

• Design and build highly available, scalable cloud applications end to end
• Develop new features and microservices within our existing infrastructure
• Build and own observability infrastructure for our AI systems — accuracy dashboards, performance monitoring, anomaly detection, and alerting on prediction quality
• Design and maintain evaluation pipelines that continuously measure model accuracy across document types, edge cases, and customer environments
• Define and track key performance metrics — precision, recall, confidence thresholds, drift indicators — and turn them into actionable engineering work
• Instrument our services with structured logging, tracing, and metrics collection to ensure full visibility into how our AI behaves in production
• Improve and refactor existing services for performance, reliability, and maintainability
• Write clean, testable, well-documented code and participate in thoughtful code reviews
• Collaborate closely with product, data science, and fellow engineers to ship meaningful improvements
• Contribute to engineering practices, tooling, and architecture decisions

• Strong proficiency in Python and TypeScript
• Solid experience with Docker, Git, and cloud-based development workflows
• Familiarity with SQL databases (PostgreSQL preferred)
• Experience with or willingness to work with: Pytest, CI/CD pipelines, Kubernetes, Terraform, Helm
• Comfort working across backend and frontend — you don't need to be an expert in both, but you're curious and willing to learn
• Experience with testing practices and a quality-first mindset
• A genuine passion for AI accuracy and observability
• Comfort with metrics and data analysis — you think in terms of precision, recall, error rates, and confidence distributions
• Proactive, communicative, and comfortable working autonomously in a remote team
• Be able to work within 2 hours +/- of the European timezone.

• Fully remote — work from anywhere in the world
• Flexible working hours — we care about output, not clocked hours
• Competitive salary with room to grow as the company scales
• An open, diverse, and international team that values collaboration and curiosity
• The chance to work with renowned enterprise customers and help build what could become the next finance automation category leader
• Real ownership and influence over the product and engineering direction