AI Data Engineer

Il y a 5 jours

OostVlaanderen, Oost-Vlaanderen, Belgique Growing Pai Temps plein 70 000 € - 100 000 € Contrat

Join Growing Pai - Where Data Meets Applied AI

At Growing Pai, we deploy and integrate pragmatic AI solutions that transform how businesses analyze data and streamline operations. We don't build AI in a vacuum; we build reliable data foundations and modern AI systems that drive real-world business outcomes.

We are looking for a specialized AI/Data Engineer to take ownership of our core data pipelines and vector storage architecture, bridging the gap between cloud data infrastructure and production AI capabilities.

What You’ll Do

  • Maintain & Scale Data Pipelines: Take ownership of existing Spark-based ETL pipelines to extract business data from cloud data warehouses, denormalize it, and efficiently load it into PostgreSQL.
  • Optimize Data Models & Vector Stores: Design, tune, and maintain complex SQL views-including vector-embedding-backed views using pgvector and trigram search to expose clean, queryable data for AI applications.
  • Deploy Production AI Systems: Implement automated data intake platforms and integrate Large Language Models (LLMs) to enhance operational efficiency across client environments.
  • Bridge Tech & Business: Translate business requirements into robust technical architecture, guiding clients and internal stakeholders through seamless AI adoption.
  • Drive Continuous Improvement: Stay ahead of modern data and AI stack trends, while mentoring team members and refining engineering best practices.

Who We’re Looking For

  • Core Technical Stack: Strong proficiency in SQL, PostgreSQL, and Big Data processing frameworks (e.g., PySpark/Spark ETL).
  • AI & Search Infrastructure: Practical experience with vector search databases (pgvector), text search indexing (trigrams), and applying LLMs to business datasets.
  • AI Deployment Experience: At least 1+ years of hands‑on experience deploying, integrating, and monitoring AI/ML systems in production environments.
  • Cloud & Data Warehousing: Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data warehousing architectures.
  • Stakeholder Management: Strong communication skills with a proven track record of translating business needs into data pipelines and functional AI features.

What We Offer

  • A competitive salary and benefits package tailored to your experience.
  • High impact and autonomy- you will own the backbone of our data and AI infrastructure.
  • A supportive, growth-oriented culture focused on practical learning and professional development.
  • The chance to build real-world AI systems that drive measurable business outcomes.