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COMO Digital Life

AI Full Stack Engineer

EU

August 14, 2026 at 8:13 AM

✨ AI summary

Location

  • Esch-sur-Alzette, Luxembourg

Languages

  • Go
  • TypeScript
  • JavaScript (Node.js)
  • Python

Frameworks

  • React
  • Angular
  • Vue

Cloud Services

  • AWS
  • Google Cloud Platform (GCP)
  • Microsoft Azure

Databases

  • PostgreSQL
  • MySQL
  • NoSQL

Experience Level

  • 3+ years full‑stack development

Your Mission

You'll build and ship features end-to-end, across the whole stack: performant, accessible frontend, scalable APIs, data pipelines, business logic — all of it. AI-assisted workflows (Claude, Cursor, and similar) are how you work day to day, not a side experiment; you'll ship production code primarily through them and show us your workflow. You own your features from design through deployment, working closely with designers and product. Architecture and engineering governance are set jointly with the CTO — but within that, you get real ownership of what you build.


What We Offer

We hire on demonstrated ability, not résumé length. A competitive base salary that scales rapidly with shipped deliverables and real impact, reviewed on a defined ramp, plus performance bonuses. Real ownership from day one - a fast way to compound fintech + AI-engineering experience.


What You'll Do

Full Stack Development

  • Build responsive and accessible (WCAG) user interfaces, from design handoff to production, in close collaboration with designers and product specialists.
  • Contribute to COMO's component library and design system to maintain consistent UI across products.
  • Optimize frontend performance (load times, rendering, cross-browser behavior) across devices.
  • Architect and implement RESTful APIs and scalable backend services that power COMO's platform.
  • Design data models, business logic layers, and integration points across COMO's financial operations stack.
  • Contribute to the continuous improvement of frontend and backend architecture and code quality.


AI-Augmented Development

  • Use AI-assisted development tools and workflows (e.g., AI coding assistants, prompt-driven prototyping, AI-generated tests/TDD gating) as a regular part of your development process.
  • Explore and adopt AI-powered techniques for development, testing, and code generation.
  • Contribute to the team's evolving AI-augmented ways of working and sharing what you learn.


API Integration & Data Handling

  • Integrate external and partner APIs (payment rails, FX, connected services) into the platform.
  • Develop dashboards and reporting views that turn financial data into clear, actionable insights.
  • Implement proper error handling and validation mechanisms.


DevOps & Quality

  • Write and maintain automated tests (unit, integration, end-to-end) across the full stack.
  • Contribute to CI/CD pipelines using enterprise tooling (e.g. Azure DevOps, Docker, Kubernetes, or equivalent).
  • Participate in peer code reviews and uphold agreed coding standards.
  • Support quality assurance processes to ensure stable, reliable releases.


Security & Compliance

  • Follow secure coding practices and internal security policies.
  • Ensure frontend and backend implementations comply with applicable regulatory, data protection, and governance standards.
  • Support audit and documentation requirements as needed.


What You Bring

Education

  • Bachelor's degree or higher in Computer Science, Software Engineering, Information Systems, Data Science, or related field.


Experience

  • 3+ years of experience shipping full-stack web features end-to-end, plus hands-on work with LLM APIs. What you’ve built matters more than years served.
  • You’ve built and shipped real web apps with AI features — strong side projects and open-source contributions count.
  • Comfortable integrating LLMs into real products — prompting, tool/function calling, RAG, and evals.
  • Preferably within financial services, consulting, or technology environments.


Technical Skills

  • Strong proficiency in at least one modern frontend framework (e.g., React, Angular, Vue).
  • Strong frontend fundamentals: state management, accessibility (WCAG), performance optimization, and responsive design.
  • Solid backend experience in Go, TypeScript, Node.js, or Python.
  • Strong expertise with prompt engineering and APIs (Claude, GPT, Gemini).
  • Working knowledge of relational databases (PostgreSQL, MySQL) and/or NoSQL stores.
  • Familiarity with RESTful API design, GraphQL, and event-driven architecture.
  • Proficiency in Git-based workflows, CI/CD tools, and automated testing frameworks.
  • Comfortable deploying to a major cloud (AWS/GCP/Azure) with Docker (Kubernetes is a plus).


Methodologies

  • Agile, Scrum, and DevOps practices.


Soft Skills

  • Excellent analytical, problem-solving, and communication skills.
  • Strong collaboration and communication (you explain trade-offs clearly to engineers and non-engineers alike).
  • Creative mindset with focus on continuous learning and innovation.
  • Curiosity and continuous learning (you try new tools and share what works).


Languages

  • English (fluent, spoken, and written).


Nice to Have

  • Experience in fintech or financial institutions.
  • Familiarity with payment protocols (SEPA, SWIFT) or compliance workflows (KYC/AML).
  • Exposure to regulatory technology (RegTech) or compliance automation.
  • Familiarity with cognitive UX/UI design.
  • Certifications in AI/ML, Agile, Data Engineering, or cloud platforms.
  • Experience with design systems, component libraries, or micro-frontend architectures.
  • Experience leading technical initiatives in agile, cross-functional product teams.
  • Exposure to managed AI services (Azure AI, Bedrock, or Vertex) a plus


How to Apply

Send your CV and cover letter in English to hr@como-dl.com with the subject "Senior AI Full Stack Engineer". Short-listed candidates will be contacted within two weeks.


Recruitment Process

We value your time and aim to make the process efficient, transparent, and respectful:

1.   Initial interview with HR to explore your background and expertise.

2.   Interview with COO & Head of Product to discuss motivation, cultural alignment, and long-term aspirations.

3.   Technical interview with the CTO (45 mins) focusing on AI systems design, full stack architecture, and problem-solving.

Apply