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

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