Develop Python backend services and analytics tools for an internal platform. Build APIs, integrations, admin interfaces, and frontend features with React. Integrate LLMs, databases, and analytics interfaces; contribute to AI agents and Text2SQL capabilities. Participate in architecture decisions, testing, code reviews, and open-source adaptations while collaborating with data engineers.
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
- 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.
- Maintain and enhance our DataHub deployment, develop custom extensions and new features, and build integrations with internal systems and data sources.
- 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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