AI Platform Data Engineer: LLM Pipelines & RAG Systems

Playrix; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Playrix is seeking a Data Platform Engineer to join the AI Platform team in the United States. You will own data pipelines and the platform layer used by AI products across the company.

You will work with modern data tools, profile production data, and help optimize LLM-related costs while building interactive services on top of data. This role offers mentorship and growth in a large engineering organization.

Qualifications

• Proven experience with modern data engineering stacks in production.
• Ability to design scalable data pipelines for AI platforms.
• Experience profiling, monitoring, and observability of data systems.
• Understanding of LLM usage, vector stores and RAG concepts is a plus.

Responsibilities

• Build and own data pipelines and the platform layer relied on by AI products.
• Analyze LLM usage, token costs, and AI spend reporting.
• Develop RAG systems including knowledge bases and vector/semantic search infrastructure.
• Ensure operability through profiling and monitoring of pipelines.
• Create interfaces and services on top of data with authentication and APIs.

Skills

Strong data engineering background

Backend mindset

Production profiling and monitoring

Tools

Databricks

dbt

Airflow

Dagster

Greenplum

Snowflake

Python

PostgreSQL

Redshift

Job description

Playrix is seeking a Data Platform Engineer to join the AI Platform team in the United States. You will own data pipelines and the platform layer used by AI products across the company.

You will work with modern data tools, profile production data, and help optimize LLM-related costs while building interactive services on top of data. This role offers mentorship and growth in a large engineering organization.