GenAI Engineer (m/w/d)

Tasks - As a GenAI Engineer (m/w/d), you will independently develop and implement Generative AI models, (multi-)agent-based LLM applications and AI-based solutions for our customer-specific requirements. In doing so, you identify and analyze problems in the context of AI and generative models. - You develop and maintain AI pipelines, APIs and interactive applications and work on components such as Large Language Models, multimodal models, Knowledge Graphs and AI-supported products. - Work on complex AI projects, the analysis of business applications for generative AI and the translation into technical solutions complement your activities. - You use your communication skills to work closely with our customers, analyze their problems in the context of GenAI and present the results in an understandable way. - You work across different technology stacks, e.g. Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks and cloud infrastructure. - You act as a mentor for junior colleagues in the field of AI and ensure knowledge transfer within the team. - You benefit from our team, learning resources, hackathons and other opportunities to advance your technical development in the field of Generative AI and to be present in the community. Benefits - Regular and systematic (external and internal) training opportunities in Generative AI, LLM development and cloud architecture - Access to cross-industry projects, e.g. banks, insurance companies, automotive, retail - Partnerships with leading partners in Cloud, AI/ML and AutoML and access to enterprise versions of leading LLMs - Work in an open, flat environment within a broad Reply network for knowledge exchange - Award-winning offices in the center of Munich with access to the Stammstrecke (S-Bahn main line) - Deutschlandticket (German nationwide public transport ticket) - Support for sports activities via EGYM Wellpass and other benefits of the Reply Group - Flexible working environment between customer projects, Reply office and remote work Requirements - Completed degree with a technical background, e.g. Computer Science, Business Informatics, (Business) Mathematics, Data Science or similar - Experience with Generative AI, LLMs, NLP and AI-based production systems, knowledge of Python, R, Rust, PySpark or SQL - Experience in Context Engineering, Prompt Engineering, Fine-Tuning, Retrieval-Augmented Generation (RAG) or similar LLM techniques - Familiarity with cloud platforms such as AWS, GCP or Azure, containerization and deployment of AI models - Good communication skills in German and English - Willingness to learn, teamwork ability and the ability to explain complex technical concepts in an understandable way - Good project management skills and the ability to work both independently and in a team About Machine Learning Reply Machine Learning Reply offers tailor-made end-to-end solutions in the data science area, covering the entire project lifecycle – from initial strategy consulting through data architecture and infrastructure topics to data processing and quality assurance using machine learning algorithms. Machine Learning Reply has comprehensive expertise in data science across all key industries of the German HDAX companies. Machine Learning Reply enables its customers to successfully introduce new data-based business models as well as optimize existing processes and products – with a focus on open-source and cloud technologies. With the Machine Learning Incubator, the company offers a program for training the next generation of decision-makers, data scientists and developers. Find Jobs in Germany on Arbeitnow