Generative AI Engineer

In this role, you will build and deploy cutting-edge generative models to support innovation across financial products, from automating research and reporting to generating synthetic financial data and enhancing client-facing tools. You'll work closely with data scientists, quant researchers, engineers, and compliance teams to develop safe, reliable, and high-performance AI systems tailored for financial applications.

Key Responsibilities:

• Design, train, and fine-tune generative models (e.g., LLMs, GANs, diffusion models) for finance-specific use cases such as document generation, scenario simulation, portfolio insights, and market commentary.
• Develop prompt engineering and retrieval-augmented generation (RAG) strategies for regulatory, client, and investment-related tasks.
• Collaborate with quants and financial analysts to turn research insights into deployable AI tools.
• Build secure and scalable pipelines for model training, evaluation, deployment, and monitoring.
• Ensure model outputs meet regulatory, compliance, and ethical standards specific to the financial services industry.
• Contribute to internal AI governance efforts, including explainability, bias detection, and auditability of generative systems.
• Stay up to date with the latest developments in generative AI and evaluate their relevance to financial use cases.

Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or related field.
• 3+ years of experience building and deploying AI/ML models, including large-scale generative models.
• Strong knowledge of financial data structures, market dynamics, and typical workflows in banking, asset management, or fintech.
• Experience with LLMs (e.g., GPT, LLaMA), prompt tuning, and embedding-based retrieval systems.
• Proficiency in Python and ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain).
• Familiarity with cloud platforms (AWS, GCP, or Azure), ML Ops practices, and secure data handling.

What We Offer:

• Up to €100,000
• Flexible Hybrid working
• Pension and Bonus
• Competitive compensation with performance bonuses
• Collaborative culture at the intersection of finance and deep tech
• Opportunities to publish applied research or contribute to open-source initiatives