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Python Developer – Backend, Fullstack
Emerging Travel Group. Develop and improve Python backend services for the internal analytics platform.
Posted 10/21/2026full-timeRemote • Kazakhstan, Thailand, Vietnam, Serbia, Georgia, UzbekistanMid-LevelSeniorWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in Python backend development with extensive experience in building APIs and integrations, alongside a solid understanding of application architecture and design principles. Demonstrates capability in leveraging AI tools and LLMs for practical problem-solving in analytics and data processing.
Highest-signal resume keywords
Python Backend DevelopmentAPI Design and IntegrationExperience with ReactSQL and Relational DatabasesAI Tools and LLM Integration
ATS Keywords
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Hard Skills
PythonAPI DevelopmentSQLPostgreSQLReactAI FrameworksDockerCI/CDAnalytical DatabasesOpen-Source Solutions
Soft Skills
Problem-SolvingIndependent WorkStructured Approach
Tools & Technologies
LangChainLlamaIndexCrewAIAutoGenPgvectorChromaDBQdrantClickHouseGreenplumOzone S3
Industry Keywords
Analytics PlatformData EngineeringAI AgentsText2SQLBI Solutions
Tech Stack
Tools & technologiesDockerGreenplumPostgresPythonReactSQL
About the role
Key responsibilities & impact- 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.
- Develop AI agents for data analysis, Text2SQL, and routine-task automation.
- Work on 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
What you’ll need- 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.
- Conversational English at B1 level or above.
Benefits
Comp & perks- Flexible schedules and opportunity to work remotely.
- 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.