Company: Machine Learning Reply
Country: Germany
Type: Onsite
Employment: Experienced
Description: As aGenAI Engineer (m/f/d) you will independently develop and implement generative AI models, (multi-)agent-based LLM applications and AI-based solutions for our customer-specific Requirements. 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-powered products. Working on complex AI projects, analyzing business applications for generative AI and translating them 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. E.g. Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks and cloud infrastructure. You are 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 be present in the community. Regular and systematic (external and internal) continuing training opportunities in generative AI, LLM development and cloud architecture Access to cross-industry projects, e.g. B. Banks, insurance, automotive, retail Collaborations withleading partners in Cloud, AI/ML and AutoML andaccess to enterprise versions leading LLMs Work in anopen, flat environmentwithin a broad Reply knowledge sharing network Award-winning office space in downtown Munich with access to the main route Deutschlandticket Support for sporting activities via EGYM Wellpass and other benefits from the Reply Group Flexible work environment between customer projects, reply office and remote work Completed degree with a technical background, e.g. B. 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 Apply here
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