Full Stack Engineer

Role Description

Nooxit is looking for a Full Stack Engineer who wants to build things that matter — someone who's equally comfortable designing a clean API as they are shipping a polished frontend feature, and who genuinely cares about whether the AI behind it is actually getting things right.

Our product makes critical financial decisions for enterprise customers, so accuracy isn't a nice-to-have — it's everything. We want someone who's obsessed with observability:

• If the AI extracts the wrong line item, misclassifies a transaction, or drifts in confidence over time, you want to know about it before anyone else does.
• You'll build the systems that measure, surface, and improve model performance — from evaluation pipelines and accuracy dashboards to real-time alerting on prediction quality.
• You'll work across the stack to develop, improve, and scale cloud-native applications while ensuring we always have a clear, data-driven picture of how our AI is performing in the wild.
• You'll have real ownership, creative freedom, and the opportunity to shape both the product and the engineering culture as we grow.

Qualifications

• 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
• Proactive, communicative, and comfortable working autonomously in a remote team

Requirements

• Previous experience in a startup or fast-moving environment (BONUS)
• Hands-on experience building evaluation pipelines, accuracy benchmarks, or monitoring for ML/AI systems in production (BONUS)
• Experience with observability tools and practices (e.g., Prometheus, Grafana, Datadog, OpenTelemetry, structured logging, distributed tracing) (BONUS)
• Familiarity with ML metrics concepts — confusion matrices, F1 scores, calibration curves, data drift detection, A/B testing (BONUS)
• Experience working at the intersection of engineering and data science (BONUS)
• Interest in AI/ML applications or fintech (BONUS)
• Experience mentoring other engineers or helping shape engineering processes (BONUS)

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