<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>We are an AI company in the heart of Hamburg with a modern SaaS solution in the regulatory compliance space. Our mission is to help financial, insurance, and industrial companies efficiently meet regulatory requirements. With our domain expertise and AI capabilities – and with your ideas and motivation – we are driving the digital transformation of compliance in a meaningful and sustainable way.</p><p><br/></p><p><strong>Your Role</strong></p><p><br/></p><ul><li>You will be part of our technical development team.</li><li>You will contribute to the further development of our generative AI agent models and work hands-on with both locally hosted and external language models.</li><li>You will also support the creation of intelligent data pipelines for automated extraction, processing, and structuring of regulatory texts from diverse data sources.</li></ul><p><br/></p><p><strong>Your Tasks</strong></p><p><br/></p><ul><li>Further development of our AI models and agent systems</li><li>Building and optimizing data pipelines for automated processing of regulatory content</li><li>Web crawling and data extraction using tools such as Playwright, Scrapling, custom scrapers, and API integrations</li><li>Developing and maintaining ETL processes for structured and unstructured data</li><li>Working with both SQL and NoSQL databases</li><li>Integration of new model architectures and techniques into existing workflows</li><li>Documentation and structured preparation of results for internal development</li></ul><p><br/></p><p><strong>Your Profile</strong></p><p><br/></p><ul><li>Ongoing studies in Computer Science, Business Informatics, Mathematics, Data Science, or a related technical field</li><li>Strong practical programming experience in Python (a core requirement)</li><li>Experience in web scraping, BeautifulSoup, Scrapling, Playwright</li><li>Experience using APIs and working with Machine Learning, LLMs, or agentic frameworks</li><li>Experience with databases: SQL (PostgreSQL), NoSQL (MongoDB)</li><li>Experience building ETL processes with real world data</li><li>Experience with Go is a plus, but not required</li><li>Analytical mindset and a structured, independent way of working</li><li>Fluent English</li><li>GitHub repositories or project samples are highly welcome</li></ul><p><br/></p><p><strong>What you can expect</strong></p><p><br/></p><ul><li>Flexible working hours that fit your studies</li><li>A remote / hybrid work model with an office in the heart of Hamburg (Neuer Wall)</li><li>Direct involvement in real AI systems in a regulatory compliance context</li><li>Collaboration with an interdisciplinary team across technology and domain experts</li><li>Space for your own ideas and initiative</li></ul><p><br/></p><p><strong>Interested in joining us?</strong></p><p><br/></p><p>Send us your application and your earliest possible start date to: bewerbung@fairfield-archer.com</p> </div>