AIML Data Engineer
Core
Build and maintain data pipelines, feature engineering, and telemetry infrastructure for LLM-based AI support evaluation systems, while conducting root cause analysis on customer experience metrics.
Role type
Senior IC AIML Data Engineer (Analytics & Infrastructure)
Builds
Data pipelines, model-ready features, telemetry systems, and investigative analytics for AI support evaluation
Domain
AI/ML, Customer Experience, Generative Support
Deliverable
production ML models
Required skills
SQL, Python, Cloud data platforms (Snowflake/Databricks), ETL/ELT orchestration (dbt/Airflow), Root cause analysis, Version control (Git), CI/CD
Preferred skills
LLM pipeline support (RAG/scoring), Data visualization (Tableau/Streamlit), NLP data preparation, Streaming architectures (Kafka), Data quality observability, Concept drift detection
Technologies
Snowflake, Databricks, dbt, Airflow, Prefect, Git, Kafka, Tableau, Streamlit, Great Expectations, Monte Carlo
Responsibilities
Design and maintain scalable data pipelines for LLM scoring systems; Engineer features and transformations for AI consumption; Build telemetry pipelines for model performance tracking; Conduct root cause analysis on CXI scores and CSAT shifts; Partner with program managers on targeted investigations; Proactively surface anomalies and trends from pipeline telemetry
Seniority
Senior, hands-on IC
