Senior AI Data Systems Engineer — End-to-End Pipelines

Mistral.ai; Paris (TX); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Relocation support

Job summary

Mistral.ai is hiring a Forward Software Engineer, Data to build end-to-end AI data systems, from prototype to production. You’ll design data architectures, implement large-scale pipelines, and collaborate across teams to ship robust data solutions.

You will work on retrieval-augmented generation, LLMevaluation, and data governance, ensuring scalable and secure data flows for enterprise use cases. Strong autonomy and English fluency are required.

Qualifications

• 5+ years of experience building production data-intensive pipelines.
• Experience with distributed processing (Spark, Ray, Beam, or Dask).
• Experience with orchestration tools (Airflow, Dagster, or Prefect).
• Fluent in English; able to communicate with technical and non-technical audiences.
• Knowledge of retrieval-augmented generation and LLM evaluation.
• Autonomous, problem-solver who ships in increments.

Responsibilities

• Build AI data systems end to end from prototype to production.
• Design data architectures: ingestion, processing, storage, data models and ontologies.
• Build distributed pipelines for large volumes of documents, code, logs, and multimodal content.
• Turn customer-specific solutions into reusable patterns and platforms.
• Ensure systems perform under real-world load: throughput, latency, cost, failure recovery.
• Incorporate data governance: ownership, access control, lineage, retention, privacy.
• Develop evaluation loops with labeled data and versioned eval datasets.
• Set standards for data system design and delivery.
• Collaborate with researchers, engineers, and customer-facing teams to solve hard problems.

Job description

Mistral.ai is hiring a Forward Software Engineer, Data to build end-to-end AI data systems, from prototype to production. You’ll design data architectures, implement large-scale pipelines, and collaborate across teams to ship robust data solutions.

You will work on retrieval-augmented generation, LLMevaluation, and data governance, ensuring scalable and secure data flows for enterprise use cases. Strong autonomy and English fluency are required.