Full Stack Engineer

Description

Job Overview

• Role: Full Stack Engineer
• Company: Nooxit GmbH
• Location: Berlin
• Employment Type: professional / experienced
• Category / Department: Remote, Software Development
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: Remote, Software Development
• Listing Source: Arbeitnow

Job Description

About Nooxit

Nooxit is building the next generation of AI-powered finance process automation for medium and large enterprises. We're putting accounting on autopilot.

Our software uses modern deep learning and NLP to free finance teams from repetitive document capturing, manual compliance reporting, and tedious accounting tasks — helping them save time, prevent fraud, and stay compliant with local financial regulations across the globe.

Founded in 2019 and investor-backed, we're a remote-first company headquartered in Berlin with additional space in the Cologne area. Our diverse team brings backgrounds in consulting, venture building, autonomous driving, space technology, and cognitive science. Our customers include international mid-market and enterprise companies across sectors.

The Role

We're 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.

Tasks

What You'll Do

• 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

What We're Looking For

• 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.

Bonus Points

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

Benefits

What We Offer

• 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

How to Apply

Send us your CV — that's all we need. If you have a GitHub profile or portfolio, feel free to include it. No cover letter required.

Questions? Reach out to us anytime.

We look forward to hearing from you.

Find Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume / Application screening by the recruiting team
2. Technical phone or video screening (30–45 min) covering fundamentals
3. Take-home coding assignment or technical assessment
4. Two to three rounds of technical interviews (algorithms, system design, or domain knowledge)
5. Behavioral / culture-fit interview with the hiring manager
6. Offer discussion and reference checks

Tip: Candidates are encouraged to review common data structures, algorithms, and system design concepts before the technical rounds.

About the Employer

Nooxit GmbH is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Berlin. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the Full Stack Engineer position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Key skills relevant to this role include: Remote, Software Development. Ensure these are prominently featured on your resume and LinkedIn profile.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.