data engineer for AI platforms

Playrix is a mobile game development company whose games have been installed 2.3 billion times and are played by more than 30 million people every day. Its AI Platform team provides shared infrastructure for the company's AI systems, including LLM usage analytics, contextual knowledge bases, and vector search.

• Build and own data pipelines and the platform layer that AI products across the company depend on;
• Analyze LLM usage, including cost, token and cache economics, and financial reporting on AI spend;
• Build RAG systems, contextual knowledge bases, and vector and semantic search infrastructure;
• Make the platform operable through profiling, monitoring, and observability of owned pipelines;
• Build interfaces and services on top of data, including authorization, APIs, and interactive access for consumers.

• Have strong commercial data engineering experience with a modern stack, such as Airflow, Dagster, Greenplum, Snowflake, Databricks, dbt, or similar;
• Have confident Python skills and a backend mindset, including understanding authorization and how services are exposed and consumed;
• Understand how to profile and monitor data systems in production;
• Understand the AI/LLM layer, including vector databases, embeddings, contextual and semantic search, RAG architectures, and autonomous agents;
• Have cloud experience, ideally with AWS.

• Opportunity for continuous development in a team of 500+ professional engineers;
• Mentoring system and access to a large knowledge base;
• Ability to move between development and other areas, including Project Management and marketing;
• Tasks involving safe and effective architectural decisions;
• Opportunities to apply interesting programming approaches;
• Support for developing product ideas;
• Time to play the games being developed;
• Ability to change processes and approaches without lengthy approvals or bureaucracy;
• Flexible schedule;
• Employees can work from anywhere in the world;
• Voluntary health insurance for employees and their children;
• Reimbursement for online psychologist sessions;
• Paid vacation and sick leave, with additional days off available in certain circumstances;
• Reimbursement for gym memberships, fitness app subscriptions, massages, spa and sauna visits, and recovery treatments;
• Payment for specialized conferences and courses;
• Internal conferences;
• Foreign language courses;
• Five additional paid days off per year for employees combining work with formal education;
• Offline team meetings, corporate parties, and office parties;
• Competitions, quizzes, hackathons, and online fitness challenges;
• Pet-related expense reimbursement, including veterinary services.