AI Engineer

Docify, based in Luxembourg, builds document management and automation software for businesses in the financial sector. We are looking for an AI Engineer to design and deliver AI-powered features in our platform. The Role As an AI Engineer, you will design and deliver the AI features of our platform. You will help our clients produce, check and manage their documents more efficiently using AI, while maintaining a high level of accuracy. You will work in a small product team with a Product Owner, backend and frontend developers and a tech lead. Our clients are regulated financial institutions, so data confidentiality and security are essential.

Key Responsibilities
• Document intelligence: extract, classify and check data in client documents to reduce manual work and errors.
• AI assistant: integrate an AI assistant into the Docify application to help users in their daily work.
• Evaluation and quality: build test datasets and metrics, and track model quality before and after each release.
• Integration and production: integrate AI services into the Docify platform and monitor them in production.
• Security and compliance: select models and providers with confidentiality and data residency in mind, ensure AI outputs are traceable and reviewed by a human, and contribute to client security reviews.
• AI enablement: share knowledge and promote good AI practices across the engineering team. Tech Stack
• Backend: Python, Django
• Database: PostgreSQL
• Async processing: Celery, Redis
• Frontend: Angular, TypeScript
• Tooling: GitLab
• AI: LLM providers and tooling to be selected with you Profile Experience & Background
• 4+ years of experience in software engineering, ML engineering or AI development, including at least 1 years building LLM or ML features.
• Technical degree (master's, engineering school or equivalent) with strong hands-on experience.
• Proven track record of deploying AI solutions in production and maintaining them.
• Fluency in English (French is a plus). Must-have Technical Skills
• Strong Python and experience working in a production backend codebase.
• Solid knowledge of machine learning principles and concepts: supervised and unsupervised learning, model training and validation, overfitting, evaluation metrics.
• Experience with MLOps practices: model versioning, deployment, monitoring and retraining.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Mistral, etc.) and their integration: RAG, structured outputs, function calling.
• Experience with document processing: PDF and Word parsing, OCR, table and data extraction.
• Experience designing evaluation frameworks and test datasets for ML or LLM systems.
• Good understanding of data privacy and security constraints when using third-party AI services.
• Solid software engineering practices: testing, documentation, Git, CI/CD. Nice to Have
• Experience in fintech, asset management or another regulated industry.
• Knowledge of the EU AI Act, GDPR or DORA.
• Experience with open-weight or self-hosted models, fine-tuning or agentic architectures.
• Experience with Django and Celery.
• Experience with Microsoft Graph / SharePoint APIs.
• Experience with Docker and cloud hosting. Mindset
• Builder: you enjoy turning an idea into a feature people use every day.
• Pragmatism: you choose the simplest approach that works, whether or not it involves a model.
• Rigour: you measure quality before you ship and you know the limits of what you built.
• Ownership: you drive a project end to end, from exploration to production.
• Communication: you explain AI clearly to non-technical colleagues and clients.
• Curiosity: you follow AI developments closely and test new approaches with judgement. Benefits
• Attractive package
• Meal vouchers
• Office in Luxembourg City, 15 minutes' walk from the train station