Senior AI Engineer (w/m/d)

<p><strong>Join Our Team at Seedbox: Innovating for a Better Tomorrow</strong></p> <p>Are you ready to be part of a visionary team that's redefining the landscape of AI-driven innovation? At Seedbox, we are more than just a company; we are a dynamic force of change-makers, driven by the shared vision of our founders.</p> <p><strong>We build technology that works – and WINs.</strong> Secure, scalable, human-centered AI solutions. From bots to agents to custom industry models, our solutions are designed for your business, respecting your data, and delivering measurable results.</p> <p><strong>Our focus</strong> is on creating AI solutions that are intuitive and seamlessly integrate with our client's business processes. Thus, our approach is deeply collaborative, from ideation to development, believing that the best results come from transparency, sharing knowledge and commitment to the highest standards. Innovation is at the heart of everything we do. By combining cutting-edge AI technologies with proven expertise in corporate innovation, we aim to drive transformation in our clients' businesses.</p> <p><strong>Our team</strong> is dedicated to exploring new frontiers, constantly improving our methodologies, and pushing the boundaries of what's possible, thus providing the most up-to-date solutions. With everything we do, we are committed to ethical obligations, security implications and sustainability.</p> <p><strong>Our goal</strong> is to ensure that AI serves humanity positively, contributing to a better tomorrow for everyone.</p> <h2 id="tasks">Tasks</h2> <ul> <li>Collaborate with customers to identify AI needs and design innovative, tailored solutions leveraging LLMs, cloud platforms, and cutting-edge technologies.</li> <li>Design, train, and optimize machine learning and deep learning models to meet specific business needs.</li> <li>Implement and fine-tune advanced algorithms and tools, adapting them to project-specific requirements.</li> <li>Develop Python-based AI solutions using around open- and closed source models such as Qwen3-30B-A3B or OpenAIs GPT 4o, via API or in custom deployments</li> <li>Deploy AI models into production, ensuring seamless integration with existing systems and continuous monitoring post-deployment.</li> <li>Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to align AI initiatives with overall business objectives.</li> <li>Work closely with our software engineers in integrating your AI solutions into customer-facing applications.</li> <li>Lead cross-functional collaboration, ensuring technical excellence while aligning with business goals.</li> <li>Stay updated with the latest AI research and trends, experimenting with new techniques and tools to enhance AI capabilities.</li> <li>Maintain clear and comprehensive documentation of AI models, processes, and methodologies.</li> </ul> <h2 id="requirements">Requirements</h2> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related STEM field.</li> <li>3+ years of experience in AI/ML engineering, data science, or full-stack software development.</li> <li>Proven experience in a technical AI role, including customer-facing or consulting exposure.</li> <li>Proficiency in Python (and optionally TypeScript), with frameworks like TensorFlow, PyTorch.</li> <li>Strong knowledge of ML concepts: supervised/unsupervised learning, deep learning, NLP.</li> <li>Skilled in data manipulation and analytics (Pandas, NumPy, SQL).</li> <li>Hands-on experience deploying AI models in cloud environments (AWS, Azure, or GCP).</li> <li>Experience with LangChain or similar frameworks for building scalable AI-driven applications.</li> <li>Solid background in building full-stack applications and managing relational databases (e.g., PostgreSQL).</li> <li>Familiarity with Git/GitHub workflows and collaborative development.</li> <li>Excellent problem-solving skills with the ability to translate business needs into technical solutions.</li> <li>Strong communication skills, capable of explaining complex AI concepts to non-technical stakeholders.</li> <li>Fluency in English (German is a plus).</li> </ul> <p><strong>Nice to Have:</strong></p> <ul> <li>Strong theoretical foundation in mathematics (linear algebra, statistics, probability).</li> <li>Knowledge of observability, monitoring, and reliability best practices.</li> <li>Contributions to open-source AI projects or active involvement in developer/AI communities.</li> </ul> <h2 id="benefits">Benefits</h2> <ul> <li><strong>Competitive Salary</strong>: Attractive, fair, and experience-based remuneration.</li> <li><strong>Flat Hierarchies</strong>: Encouragement of personal initiative and room for your own ideas.</li> <li><strong>Career Advancement</strong>: Dynamic environment with ample opportunities for professional growth.</li> <li><strong>Flexible Remote Culture</strong>: Adaptability in work location and hours, suppo