Senior Software Engineer, AI Data

Jobgether • France

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and build scalable AI data infrastructure, collaborate with researchers and engineers, and drive innovation in a fast-paced environment.

Key Highlights

Architect and implement scalable AI data infrastructure

Collaborate with researchers and engineers

Drive innovation in a fast-paced environment

Key Responsibilities

Architect and implement scalable AI data infrastructure to support model training and evaluation at scale

Build efficient, self-serve data processing pipelines leveraging cloud services and distributed systems

Design cost-effective storage, monitoring, and resource management solutions to maximize efficiency

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Technical Skills Required

Python SQL RESTful APIs Distributed systems Containerization (Docker) GCP services (BigQuery, GCS, Cloud Run, GKE) Distributed processing frameworks (Apache Beam, PySpark) Workflow orchestration tools (Airflow, Prefect, Dagster)

Benefits & Perks

Competitive salary with equity grants and location-adjusted compensation

Fully remote work with flexible hours and autonomy over work-life balance

Comprehensive employer-paid health benefits

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Nice to Have

Experience with GCP services (BigQuery, GCS, Cloud Run, GKE)

Familiarity with distributed processing frameworks (Apache Beam, PySpark)

Knowledge of workflow orchestration tools (Airflow, Prefect, Dagster)

Job Description

This role offers the opportunity to design and build scalable, high-performance systems that power next-generation AI data platforms. You will work on mission-critical pipelines that support large-scale model training and evaluation, impacting millions of inference calls and hours of processed data. The role combines software engineering rigor with AI-focused infrastructure, providing a chance to shape technical execution, optimize data workflows, and drive innovation in a fast-paced, high-impact environment. You will collaborate closely with researchers, platform engineers, and other stakeholders to deliver reliable, maintainable, and cost-efficient systems that accelerate AI model development. This is an ideal position for engineers who thrive in a startup-like culture where ownership, technical excellence, and measurable impact are paramount.

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