As a Generative AI Engineer, you operate at the intersection of AI research and software engineering, applying your expertise in Generative AI, Large Language Models (LLMs), Deep Learning, and Agent Systems to develop cutting-edge AI applications. You are passionate about transforming AI advancements into real-world solutions that drive business innovation across industries. As part of the AI Engineering team at appliedAI, you will collaborate with AI experts, AI strategists and external partners to create high-impact, cutting-edge prototypes and production-ready AI solutions that drive meaningful innovation.

• You focus on strategically applying Generative AI and multi-agent systems to solve complex business challenges, accelerating AI adoption across industries

• Responsibility for designing and implementing RAG solutions, agentic workflows, and multi-agent systems tailored to specific customer needs

• Maintaining the highest engineering standards, you contribute to collaborative technology development within appliedAI and across the appliedAI Partner ecosystem

• Bridging the gap between AI research and software engineering, ensuring robust, scalable, and efficient AI system design

• Taking a leading role in leveraging advancements in AI technologies, such as LLM deployments and optimization techniques, to drive customer value

• Strong expertise in machine learning, deep learning, and generative AI techniques with a solid academic background in Data Science, Machine Learning, Mathematics, Physics, or similar

• Ideally up to 2 years in a comparable engineering role, Software Development, or a related field, with a proficiency in Python and GenAI-specific frameworks such as LangChain, Haystack, or Azure PromptFlow

• Solid understanding of Transformer architectures, embedding models, and Prompt Engineering techniques along with initial experience in AI Agent frameworks like LangGraph, AutoGen, or crewAI

• Familiarity with DevOps and MLOps practices, including containerization, CI/CD, and automation of LLM deployments and optimization techniques as well as knowledge of using cloud platforms like Microsoft Azure, AWS or GCP

• Strong problem-solving, analytical, and communication skills, with the ability to collaborate effectively across teams and external partners

• Passion for continuous learning, innovation, and contributing to high-performing teams

• Fluent English is required; German proficiency is a plus

• Opportunity to shape a variety of projects and the development of new, original content based on the latest developments in AI and its adoption in businesses
• An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes
• Hottest topics of the next decade and freedom and trust to initiate own activities
• A highly visible initiative that helps you build a large and high-level network of start-ups, partners, and tech companies
• Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond)
• JobRad leasing option
• You can take a sabbatical of up to 3 months after 3 years of employment - because sometimes 30 vacation days are not enough to explore the beauty of this world.