About the Team
The team develops an internal analytics platform and builds AI solutions to automate the work of analysts and data engineers.
Responsibilities
•Develop and improve Python backend services for the internal analytics platform
•Build features for analytics tools, admin interfaces, and services for data engineers
•Integrate LLMs with databases, APIs, and analytics interfaces
•Contribute to AI agents for data analysis, generating SQL from natural language requests (Text2SQL), and automating routine tasks
•Develop frontend features using React
•Design APIs and integrations, participate in architecture discussions, and help choose technical solutions
•Adapt open-source solutions to the platform's needs, write tests, and participate in code reviews
Requirements
•More than 3 years of commercial experience in Python backend development
•Experience with React or willingness to learn it quickly
•Experience building backend services, APIs, and integrations between systems
•Knowledge of SQL and experience with relational databases such as PostgreSQL
•Understanding of application architecture, design principles, and common development patterns
•Interest in LLMs and AI agents, understanding of the basic principles behind language models, and willingness to use them to solve practical problems
•Active use of AI tools in development and ability to critically evaluate their results
•Ability to work independently, take a structured approach to problem-solving, and learn existing codebases and new technologies
•Conversational English at B1 level or above
Nice to Have
•Experience integrating LLMs through APIs or using AI frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen
•Familiarity with vector databases such as pgvector, ChromaDB, or Qdrant
•Experience with analytical databases and data warehouses such as ClickHouse, Greenplum, or Vertica
•Familiarity with S3-compatible object storage such as Ozone S3
•Experience building admin interfaces, internal tools, BI solutions, or analytics dashboards
•Experience with Docker, CI/CD, and service monitoring tools
•Experience adapting and extending open-source solutions
Conditions
•Flexible schedules
•Partial compensation for participating in external training and conferences
•Corporate English school with group and individual lessons and speaking clubs with colleagues from around the world
•Corporate prices on hotels and travel services
•MyTime Day Off: an extra non-working day without loss of compensation
