Data Engineer (AI)

TL;DR

Data Engineer (AI): Building and optimizing foundational storage infrastructure and data processing pipelines for frontier AI models with an accent on high-performance datasets and distributed processing. Focus on transforming unstructured data into performant datasets and implementing end-to-end data initiatives.

Location: Remote (must be based in the United States or Canada)

Company

hirify.global is a leading AI company training and deploying frontier models to enable developers and enterprises to build advanced AI systems.

What you will do

• Develop and manage storage infrastructure and data processing systems for advanced AI applications.
• Build and launch new customer experiences and product features within the Agentic Platform.
• Collaborate with world-class researchers and engineers to implement data-driven initiatives.
• Partner with research, marketing, sales, and finance teams to inform product strategy and growth.
• Execute data implementations end-to-end from conception to real-world outcomes.

Requirements

• 5+ years of experience working on production-grade data processing systems.
• Strong proficiency in Python and SQL.
• Experience with distributed frameworks such as Apache Beam, Spark, or Flink.
• Ability to transform unstructured data into performant datasets across S3, GCS, and POSIX.
• Must be based in the United States or Canada.

Nice to have

• Experience with Kubernetes.
• Familiarity with BigQuery, Airflow, or dbt.
• Knowledge of Java or Golang.

Culture & Benefits

• Highly inclusive culture working on the cutting edge of AI research.
• Generous 6 weeks of annual vacation (30 working days).
• Comprehensive health and dental benefits, including a dedicated mental health budget.
• 100% Parental Leave top-up for up to 6 months.
• Remote-flexible work environment with a co-working stipend.
• Weekly lunch stipend and in-office snacks.