Staff Applied AI Data Engineer for Frontier Systems

Mistral AI; Greater London; Presencial; GBP 120.000 - 180.000; Jornada completa

Descripción de la vacante

Mistral is hiring an Applied AI, Frontier Data Engineering staff member to build end-to-end AI systems that transform data into production-ready pipelines. You will shape data architectures, design scalable pipelines for large-scale, multimodal content, and collaborate with researchers, engineers, and customer-facing teams to deliver robust data platforms.

You will own the data quality, governance, and evaluation loops, applying state-of-the-art data models and ontologies.

Formación

• 5+ years of experience building and running production data-intensive pipelines with distributed processing.

Responsabilidades

• Build AI systems end to end, from first prototype to production.
• Design the data architecture underneath them: ingestion, processing, storage, and the data models and ontologies that make messy data usable.
• Build distributed pipelines that process large volumes of documents, code, logs, and multimodal content for retrieval, agentic workflows, and fine-tuning.
• Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time.
• Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start.
• Build data governance into the systems themselves: ownership, access control, lineage, retention, and privacy for sensitive enterprise data.
• Build the evaluation loop: labeling with LLMs and humans, versioned eval datasets, and checks that catch quality drift before customers do.
• Set the standard for how the team designs and ships data systems.
• Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on.

Conocimientos

NodeJS

Python

TypeScript

React

NextJS

Herramientas

Airflow

Dagster

Prefect

Spark

Ray

Beam

Dask

FastAPI

Descripción del empleo

Mistral is hiring an Applied AI, Frontier Data Engineering staff member to build end-to-end AI systems that transform data into production-ready pipelines. You will shape data architectures, design scalable pipelines for large-scale, multimodal content, and collaborate with researchers, engineers, and customer-facing teams to deliver robust data platforms.

You will own the data quality, governance, and evaluation loops, applying state-of-the-art data models and ontologies.