Python Developer (Backend + Fullstack)

We are looking for a Python Developer to join a team that develops an internal analytics platform and builds AI solutions to automate the work of analysts and data engineers.
You will work on backend services and analytics tools, integrate LLMs into existing products, and gradually take part in developing AI agents. This role is not only about AI development. It also includes regular backend tasks and working with frontend features.
What You Will Do
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
Take part in developing AI agents for data analysis, generating SQL from natural language requests (Text2SQL), and automating routine tasks
Work on frontend features using React
Design APIs and integrations, take part in architecture discussions, and help choose technical solutions
Adapt open-source solutions to the platform's needs, write tests, and take part in code reviews
Requirements
More than 3 years of commercial experience in Python backend development
Experience with React or a 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 the ability to critically evaluate their results
Ability to work independently, take a structured approach to solving problems, and learn existing codebases and new technologies
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
English Proficiency: сonversational English at B1 level or above
Benefits
Flexible schedules and opportunity to work remotely
Ambitious and supportive team who love what they do, appreciate each other, and grow together
Internal programs for adaptation and training, development of soft skills, and leadership abilities
Partial compensation for participating in external training and conferences
Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world
Corporate prices on hotels and travel services
MyTime Day Off - an extra non-working day without loss of compensation
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Work arrangement
Yes