Senior Data Engineer (AI/ML, GenAI)

TL;DR

Senior Data Engineer (AI/ML, GenAI): Building scalable, high-performance data pipelines and GenAI applications with an accent on AI-orchestrated development (Vibe Coding), real-time/near real-time and batch architectures, and GenAI-powered self-service tools. Focus on modernizing data engineering workflows, ensuring data integrity, and implementing monitoring/CI/CD automation for reliable AI-supported data services.

Company

hirify.global empowers enterprises to transform complex data into actionable insights through data and AI/ML platforms.

What you will do

• Collaborate with data architects, operational architects, and analysts to define data and operational requirements across business units.
• Lead AI-orchestrated development (Vibe Coding) to accelerate delivery of production data pipelines and GenAI applications.
• Design and implement data transformations for enrichment and provisioning using AI-first workflows.
• Architect and deploy robust data processing flows for real-time, near real-time, and batch use cases.
• Build GenAI-powered self-service tools (e.g., automated documentation generators and natural language interfaces) to reduce routine engineering requests.
• Implement monitoring and CI/CD automation to track data quality and ensure reliability of AI-supported data services.

Requirements

• 5+ years of experience as a Data Engineer.
• Proven experience with AI-first approaches and Vibe Coding, delivering production-ready data pipelines using AI orchestration.
• Deep proficiency with AI-assisted coding tools (Cursor, GitHub Copilot, or Gemini) to modernize engineering workflows.
• Expert system design skills for batch and real-time/streaming data architectures.
• Strong coding skills in Python (primary) and SQL, with ETL and data processing experience.
• Hands-on experience with distributed systems and big data technologies (Spark and Hadoop ecosystem: Hive, Impala, Kafka).

Nice to have

• Experience supporting GenAI applications (vector databases, RAG pipelines, LLM data orchestration).
• Experience with Apache Airflow or Apache NiFi.
• Expertise optimizing data storage (HDFS/Parquet/Avro, Kudu, HBase).

Culture & Benefits

• Generous PTO policy and support for work-life balance with Unplugged Days.
• Flexible WFH policy.
• Mental and physical wellness programs.
• Phone and internet reimbursement.
• Career development support and comprehensive benefits/competitive packages.
• Employee Resource Groups and paid volunteer time.

Hiring process

• Interview process includes discussions of experience with data engineering, AI-first/Vibe Coding workflows, and system design.
• Technical evaluation focuses on building/architecting data pipelines and ensuring data quality and reliability.

Location: Budapest, Hungary