Full Stack Engineer

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Nooxit

11 - 50 employees

Founded 2018

💳 Fintech

☁️ SaaS

AI • Fintech • SaaS

Nooxit is a company that specializes in automating accounts payable processes using artificial intelligence and optical character recognition (OCR) technology. Founded in 2018, Nooxit aims to significantly reduce the costs and errors associated with invoice processing. Their software automates the capture and validation of invoice data, streamlining the workflow and enhancing efficiency for businesses. By integrating with ERP systems, Nooxit supports companies in saving time and resources, allowing employees to focus on more valuable tasks.

📋 Description

• 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

🎯 Requirements

• 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 — you're the kind of person who wants to understand why a model got something wrong, builds a dashboard to track it, and sets up an alert so it doesn't happen silently again • Comfort with metrics and data analysis — you think in terms of precision, recall, error rates, and confidence distributions, not just "it seems to work" • Proactive, communicative, and comfortable working autonomously in a remote team

🏖️ Benefits

• 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

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