AI Data Engineer

Elios Talent is a high-growth technology organization focused on ecommerce and digital marketplace platforms. They are seeking an AI Data Engineer to architect and scale the data foundation that powers applied AI systems, collaborating closely with various teams to ensure seamless data flow from ingestion to production AI systems.

Responsibilities:

• Design and build scalable data pipelines supporting AI-driven product features
• Create real-time and batch data workflows within AWS environments
• Develop feature stores and model-ready datasets for ML systems
• Implement embedding pipelines and vector database integrations
• Build data infrastructure for LLM-based applications and AI agents
• Establish monitoring and observability frameworks for data quality and model inputs
• Generate experimentation datasets to optimize conversion and performance

Requirements:

• 5+ years of Data Engineering experience in production environments
• Strong experience in ecommerce or similar high-transaction digital sectors
• Deep expertise building pipelines in AWS (S3, Lambda, Glue, Redshift, etc.)
• Strong programming experience (Python and/or TypeScript)
• Experience working closely with ML or Applied AI teams
• Familiarity with vector databases, embeddings, and RAG architectures
• Experience designing scalable, high-availability data systems
• Experience supporting AI agents and LLM-based workflows
• Real-time streaming experience
• Exposure to full-stack environments (Node.js, React, Next.js)
• Startup or high-growth company experience