GenAI Engineer (m/w/d)

Full-timeMid

Tech Stack

PythonRRustPySparkSQLAWSGCPAzureLangChainHugging FaceOpenAI APIRAGLLMsKnowledge Graphs

Agent Workflow

Developing multi-agent-based LLM applications, RAG implementations, and generative AI models across banking, insurance, automotive, and retail industries.

About the Role

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).

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