AI Engineer
Core
Design and build production-ready AI solutions (LLMs, GenAI) for clients across Europe, bridging the gap between experimentation and robust, scalable systems.
Role type
AI Engineer (LLM/GenAI focus)
Builds
Production-grade GenAI applications, RAG architectures, agentic workflows, and scalable data/AI pipelines.
Domain
Data & AI consultancy, European market, Databricks ecosystem
Deliverable
production ML models | product features | client delivery
Required skills
Python, LLMs & GenAI, RAG architectures, agentic workflows, LLMOps, MLOps, data pipeline design, cloud infrastructure (AWS/Azure/GCP), client consulting
Preferred skills
Databricks, PyTorch, TensorFlow, LLMOps tooling
Technologies
Databricks, PySpark, SQL, Delta Lake, Unity Catalog, MLflow, OpenAI, Anthropic, Azure AI, LangChain, LangGraph, Pydantic AI, Hugging Face, DSPy, Terraform, Terragrunt
Responsibilities
Embed with clients to design and build AI solutions; build production-grade GenAI applications; establish evaluation metrics and iterate on models/prompts; manage experiment tracking, model versioning, and CI/CD pipelines; translate business challenges into technical roadmaps; deploy and monitor AI systems in cloud environments.
Seniority
Medior to Principal level
