GenAI Engineer (m/w/d)

About

As a GenAI 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 will identify and analyze problems in the context of AI and generative models.

Responsibilities

• You develop and maintain AI pipelines, APIs, and interactive applications, working on components such as Large Language Models, multimodal models, Knowledge Graphs, and AI-powered products.
• Work on complex AI projects, analyze business applications for generative AI, and translate them into technical solutions.
• You use your communication skills to work closely with our clients, analyze their problems in the context of GenAI, and present the results understandably.
• You work across various technology stacks, such as Azure, AWS, GCP, Databricks, LangChain, Hugging Face, OpenAI APIs, LLM frameworks, and cloud infrastructure.
• You mentor 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 Generative AI and be present in the community.

Benefits

• Regular and systematic (external and internal) further training opportunities in Generative AI, LLM development, cloud architecture, and data science
• Work in an open, flat environment within a broad Reply network for knowledge exchange
• Award-winning office space in Munich city center with access to the Stammstrecke
• Public transport ticket with Deutschlandticket
• Contribution to your sports activities via EGYM Wellpass and other benefits of the Reply Group
• Flexible work environment between clients, Reply office, and remote work

Qualifications

• Completed studies with a technical background, e.g., Computer Science, Business Informatics, Data Science, or a similar degree program.
• 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, team player, and the ability to explain complex technical concepts understandably.
• 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 field, covering the entire project lifecycle – from initial strategy consulting, data architecture, and infrastructure topics to data processing and quality assurance using machine learning algorithms. Machine Learning Reply possesses comprehensive expertise in data science across all key industries of German HDAX companies. Machine Learning Reply empowers its clients to successfully introduce new data-based business models and optimize existing processes and products – with a focus on open-source and cloud technologies. Through the Machine Learning Incubator, the company offers a program to train the next generation of decision-makers, data scientists, and developers.