AI Engineer

AI Engineer (Data Science Background) | LLM & RAG | Snowflake 📍 Denmark | Hybrid | Full-time, permanent Our client is scaling its AI and data function and is looking for an AI Engineer with a strong data science foundation to design and ship production Generative AI applications. You'll work at the intersection of large language models (LLMs), retrieval-augmented generation (RAG), and a modern Snowflake data platform — turning enterprise data into AI-powered tools that real teams rely on. This is a hands-on, build-and-own role for someone who wants to move GenAI proofs of concept into robust, monitored production systems, not just experiment in notebooks. 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

• Design, build and deploy LLM-powered applications, agents and copilots from prototype through to production
• Architect and optimise RAG pipelines — chunking strategy, embedding model selection, vector store management and retrieval/re-ranking tuning
• Build AI and semantic search capability natively within Snowflake, leveraging Cortex functions, Cortex Search and Snowpark (Python)
• Integrate foundation models (e.g. OpenAI, Anthropic Claude, open-source LLMs) via orchestration frameworks such as LangChain or LlamaIndex
• Develop and maintain data pipelines and document ingestion flows that feed AI applications with clean, governed data from Snowflake
• Apply data science fundamentals — evaluation metrics, experimentation and statistical rigour — to benchmark and improve performance
• Implement MLOps/LLMOps practices — versioning, monitoring, logging and evaluation harnesses

𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗙𝗼𝗿

• Solid experience in AI/ML engineering, data science or software engineering, with hands-on exposure to LLM-based applications in production
• Practical experience building RAG systems, including vector databases (e.g. Pinecone, FAISS, Chroma, or Snowflake Cortex Search)
• Strong working knowledge of Snowflake, ideally including Snowpark and Cortex AI functions
• Strong Python skills and comfort with SQL
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, or similar)
• A genuine data science grounding — comfortable with model evaluation, statistics and experiment design
• Familiarity with cloud platforms (AWS, Azure or GCP)
• Fluent English required; Danish an advantage but not essential

𝗡𝗶𝗰𝗲 𝘁𝗼 𝗛𝗮𝘃𝗲

• Experience with AI agent frameworks and tool/function-calling patterns
• Exposure to Databricks alongside Snowflake
• Background in MLOps tooling (MLflow, Airflow, Prefect)
• A degree in Computer Science, Data Science, Statistics or related field

𝗪𝗵𝗮𝘁'𝘀 𝗢𝗻 𝗢𝗳𝗳𝗲𝗿

• Build AI capability from the ground up within a well-resourced, data-mature organisation
• A modern tech stack centred on Snowflake, with genuine autonomy over architecture decisions
• Competitive salary, benefits package and hybrid working
• Clear scope to grow into a senior or lead AI engineering position