GenAI Engineer (m/w/d) at Machine Learning Reply

Develop and implement Generative-AI-models and (Multi-)Agent-based LLM-applications for client needs across banking, insurance, automotive, and retail industries.

Key Responsibilities

Develop and implement generative AI models, multi-agent LLM applications, and AI-based solutions for clients

Build and maintain AI pipelines, APIs, and interactive applications using large language models and multimodal models

Analyze business problems in GenAI context and translate them into technical solutions

Collaborate closely with clients to understand their needs and present results clearly

Work across technology stacks including Azure, AWS, GCP, Databricks, LangChain, and Hugging Face

Mentor junior colleagues and contribute to knowledge sharing

Required Skills

Completed degree in technical field (Computer Science, Mathematics, Data Science, etc.)

Experience with Generative AI, LLMs, NLP and AI-based production systems

Programming proficiency in Python, R, Rust, PySpark, or SQL

Background in context engineering, Prompt Engineering, Fine-Tuning, Retrieval-Augmented Generation (RAG)

Familiarity with cloud platforms (AWS, GCP, or Azure), containerization, and model deployment

Fluent in German and English

Strong communication skills and project management abilities

Benefits include Deutschlandticket and enterprise LLM access partnerships.

Location: Munich, Germany (On-site/Hybrid).