Python Developer (Backend + Fullstack)
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Before you apply
LocationUzbekistan
Work moderemote
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentIT Recruitment
Company size501–1,000 people
PostedOct 20, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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: conversational English at B1 level or above
Skills
Python
React
PostgreSQL
LLM
LangChain
LlamaIndex
CrewAI
AutoGen
pgvector
ChromaDB
Qdrant
ClickHouse
Greenplum
Vertica
S3
Ozone S3
Docker
CI/CD
DataHub
Benefits
Flexible schedule
Remote work
Training programs
Conference compensation
Language training
Hotel travel discounts
Extra day off
About the role
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, including maintaining and extending our DataHub implementation.
The role also involves integrating LLMs into existing products and gradually contributing to AI agent development. It’s not just about AI — you’ll handle regular backend tasks and work on frontend features as well.
What You Will Do
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Develop and improve Python backend services for the internal analytics platform.
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Build features for analytics tools, admin interfaces, and services for data engineers.
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Integrate LLMs with databases, APIs, and analytics interfaces.
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Maintain and enhance our DataHub deployment, develop custom extensions and new features, and build integrations with internal systems and data sources.
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Take part in developing AI agents for data analysis, generating SQL from natural language requests (Text2SQL), and automating routine tasks.
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Work on frontend features using React.
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Design APIs and integrations, take part in architecture discussions, and help choose technical solutions.
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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.
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Internal programs for adaptation and training, development of soft skills, and leadership abilities.
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Partial compensation for participating in external training and conferences.
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Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
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Corporate prices on hotels and travel services.
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MyTime Day Off - an extra non-working day without loss of compensation.
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