AI Engineer

Tenth Revolution Group; København; Hybrid; DKK 900,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid working

Competitive salary

Benefits package

Growth path to senior/lead AI engineer

Job summary

Tenth Revolution Group is seeking an AI Engineer with a strong data science background to design and ship production Generative AI applications at scale.

You will work at the intersection of LLMs, retrieval-augmented generation (RAG) and a modern Snowflake data platform, turning enterprise data into AI-powered tools used by real teams. Hybrid in Denmark with strong growth potential and a clear path to senior roles.

Qualifications

• Hands-on AI/ML engineering with production experience.
• Experience building RAG systems with vector databases (Pinecone, FAISS, Chroma, or Snowflake Cortex Search).
• Strong Snowflake experience, including Snowpark and Cortex AI functions.
• Strong Python and SQL skills.
• Experience with LangChain or LlamaIndex.
• Solid data science grounding with model evaluation and statistics.
• Familiarity with cloud platforms (AWS, Azure or GCP).
• Fluent English; Danish is a plus.

Responsibilities

• Design, build and deploy LLM-powered applications from prototype to production.
• Architect and optimize RAG pipelines including embedding model selection and vector store management.
• Build AI and semantic search capabilities within Snowflake using Cortex functions and Snowpark.
• Integrate foundation models via orchestration frameworks such as LangChain or LlamaIndex.
• Develop and maintain data pipelines and ingestion flows feeding AI apps from Snowflake.
• Apply data science fundamentals to evaluate models and benchmark performance.
• Implement MLOps practices including versioning, monitoring and evaluation harnesses.

Skills

LLM-based applications

RAG pipelines

Python programming

SQL querying

Data science fundamentals

MLOps basics

Cloud platforms

English fluent

Education

Bachelor's degree in CS/Data Science

Tools

Snowflake

Snowpark

Cortex Search

LangChain

LlamaIndex

FAISS

Pinecone

Job description

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