AI Engineer

Tenth Revolution Group; København; Hybrid; DKK 673,000 - 1,121,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Job summary

Tenth Revolution Group is seeking an AI Engineer with a strong data science background to design and ship production Generative AI applications. You will work at the intersection of LLMs, RAG, and Snowflake to turn enterprise data into AI-powered tools used by real teams.

The role is hands-on and focuses on moving GenAI proofs of concept into robust, monitored production systems, not just notebook experiments.

Qualifications

• Strong data science foundation with practical ML experience.
• Experience deploying LLM-based applications to production.
• Familiarity with Snowflake Cortex, Snowpark and Python.
• Experience with RAG pipelines and vector stores.
• Hands-on exposure to LLM orchestration frameworks (LangChain, LlamaIndex).

Responsibilities

• Design, build and deploy LLM-powered apps from prototype to production.
• Architect and optimise RAG pipelines and vector stores.
• Develop AI and semantic search within Snowflake using Cortex functions.
• Integrate foundation models via orchestration tools like LangChain or LlamaIndex.
• Build and maintain data pipelines feeding AI apps with governed data.

Skills

Python

SQL

LLM

RAG

AI/ML engineering

Data science

Cloud platforms

English proficiency

Education

Degree in CS/DS/Statistics

Tools

Snowflake

Snowpark

Cortex AI functions

LangChain

Pinecone/FAISS/Chroma

Job description

AI Engineer (Data Science Background) | LLM & RAG | Snowflake

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.

• 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
• 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
• 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
• 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