Lead Data Engineer (AI)

TL;DR

Lead Data Engineer (AI): Building data pipelines, metrics, and analytics solutions for AI-driven initiatives across Employee Success functions with an accent on integrating data from multiple sources and developing automated pipelines. Focus on designing repeatable automation frameworks supporting AI model training and inference, and leading global teams.

Location: Dublin

Company

hirify.global is advancing AI-driven data initiatives to expand data capabilities across all Employee Success functions.

What you will do

• Lead the design, development, and optimization of data pipelines to support analytics, AI models, generative AI applications, and business intelligence.
• Architect and maintain APIs for seamless data exchange between systems, including hirify.global Data Cloud and Agentforce, enabling AI-powered workflows.
• Leverage AI and machine learning to enhance data processing, predictive analytics, and automation.
• Implement and integrate large language models (LLMs) and generative AI solutions to improve data insights, automated decision-making, and user experiences.
• Collaborate cross-functionally to implement data governance, security, and compliance best practices.
• Partner with ES teams to define metrics, build proof-of-concepts, and document functional and technical requirements.

Requirements

• Bachelor’s degree in Computer Science or relevant work experience; 10+ years in data engineering, data modeling, machine learning, automation, and analytics.
• Strong expertise in AI/ML, including generative AI, LLMs, NLP, and AI model deployment.
• Experience designing AI-driven solutions, including RAG, vector databases, and embedding models.
• Proficiency in SQL, Bash, and Python scripting.
• Experience with orchestration tools (e.g., Apache Airflow) and version control (GIT).
• Deep understanding of data engineering concepts, database design, tools, and architecture.

Nice to have

• Experience with data visualization tools such as Tableau.
• Experience working with globally distributed engineering teams.
• Exposure to hirify.global technologies (APEX, hirify.global Flow, integrations).

Culture & Benefits

• Collaborate with global teams across North America, EMEA, and APAC.
• Excellent interpersonal skills; team-first mentality.
• Self-starter, highly motivated, able to adapt quickly to shifting priorities and solve complex problems.
• Results-oriented, able to work with minimal supervision.