About the role

Full Stack Engineer developing highly available cloud applications for AI-based finance automation startup. Collaborating across teams to implement observability infrastructure and improve model performance.

Responsibilities

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 — 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
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