Data Engineer
Core
Building and maintaining production-grade AI-powered internal tools for QA, Analytics, and Engineering teams, including agentic systems and LLM-based applications.
Role type
Mid-Level Data Engineer (AI)
Builds
AI-driven applications, tool-calling frameworks, and scalable data pipelines for internal productivity.
Domain
Gaming industry, applied AI, data engineering
Deliverable
production ML models | product features
Required skills
Python, SQL, Snowflake, LLM-based systems, tool-calling frameworks, agentic applications, API design, data modeling, system ownership
Preferred skills
Docker, Terraform, dbt, Airflow, Snowflake Cortex, Slack applications, event-driven systems, production observability
Technologies
Python, FastAPI, Streamlit, Snowflake, Slack, Docker, Terraform, dbt, Airflow
Responsibilities
Build and maintain AI-driven applications and agentic systems; Develop and manage tool-calling frameworks with structured inputs/outputs; Design and implement internal user-facing AI solutions; Develop and maintain scalable data pipelines and ingestion processes; Optimize data models and query performance for AI applications; Own solutions end-to-end including APIs, services, and integrations.
Seniority
Mid-Level, hands-on IC
