python developer for an internal analytics platform

The team develops an internal analytics platform and builds AI solutions to automate the work of analysts and data engineers.

• 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

• 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
• Будет плюсом: 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

• 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