Looking for an Data Scientist-Artificial Intelligence with experience in Generative AI, LLMs, RAG, LangChain/LangGraph, Python, chatbot development, workflow automation, and cloud AI services to build intelligent AI solutions and conversational applications.
Technical Skills & Qualifications:
Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics or a comparable technical field
Experience or strong academic background in AI/ML engineering, Generative AI solution development, conversational AI or intelligent automation
Good understanding of large language models (LLMs), transformer architectures, embedding models and generative AI concepts
Hands-on experience with LangChain, LangGraph or similar agentic AI orchestration frameworks for building AI agents and tool-augmented workflows
Experience in building Retrieval-Augmented Generation (RAG) systems including vector databases (e.g. Pinecone, Weaviate, Qdrant, ChromaDB, FAISS), chunking strategies and retrieval pipelines
Experience with n8n or similar workflow automation and integration platforms (e.g. Make, Apache Airflow) for orchestrating AI-driven processes and API integrations
Strong programming skills in Python with experience in AI/ML libraries and frameworks (e.g. Hugging Face Transformers, OpenAI API, LlamaIndex, Semantic Kernel)
Experience in developing chatbot and conversational AI solutions using frameworks such as Rasa, Botpress, Dialogflow or custom LLM-based chat interfaces
Good understanding of prompt engineering techniques, chain-of-thought reasoning, function calling and agent tool-use patterns
Familiarity with cloud platforms and AI services such as Azure OpenAI, AWS Bedrock, Google Vertex AI or similar managed AI services
Familiarity with containerization (Docker), CI/CD pipelines and version control systems (Git)
Good understanding of data engineering concepts, data pipelines and data quality management relevant to AI solution delivery
Good English communication skills (spoken and written); German language skills are an added advantage
Python, Generative AI, AI/ML, Large Language Models (LLMs), Transformers, LangChain, LangGraph, RAG, Vector Databases, Pinecone, Weaviate, Qdrant, ChromaDB, FAISS, N8N, Make, Apache Airflow, Hugging Face, OpenAI API, LlamaIndex, Semantic Kernel, Chatbots, Conversational AI, Rasa, Botpress, Dialogflow, Prompt Engineering, Function Calling, Agentic AI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Docker, CI/CD, Git, Data Pipelines, Data Quality, Cloud AI Services