Description
We are building an AI platform from scratch that automates complex analytical tasks using LLMs and an agent-based architecture.
The system independently searches for and combines data from various sources, uncovers hidden connections, and forms reasoned conclusions. It is based on a multi-agent approach, RAG, memory, a knowledge graph, and custom data processing pipelines.
This is not an integration of a "wrapper over an LLM," but the development of a full-fledged intelligent backend core, where you can influence the architecture, experiment, and create a complex deep-tech level system.
Responsibilities
Tasks:
- design, development, and enhancement of REST API (FastAPI/Django/Aiohttp) with documentation via OpenAPI/Swagger
- designing the architecture of backend services: modularity, scalability, fault tolerance
- integration of backend services with frontend applications and external systems
- development and maintenance of data collection and processing services (including crawlers)
- optimization of API performance and database operations
- participation in designing data storage schemas and integration contracts.
Requirements
We expect from the candidate:
- higher education in IT
- commercial experience in Python backend development for 3+ years
- experience in API development using FastAPI / Django / Aiohttp or another asynchronous framework
- understanding of REST principles, HTTP, working with OpenAPI
- experience with relational and/or NoSQL DBMS (PostgreSQL, MySQL, MongoDB, etc.)
- understanding of asynchronous programming principles in Python
- experience with Git and CI/CD processes.
Will be a plus:
- experience with big data processing systems or search engines
- experience with graph databases (e.g., Neo4j)
- have experience with frontend projects (React)
- experience in developing and maintaining crawlers, knowledge of Crawlee or similar tools.
Conditions
We offer:
- comfortable modern office near Kutuzovskaya metro station
- ability to choose a convenient schedule – office/hybrid
- annual salary review, annual bonus
- corporate gym and relaxation areas
- more than 400 educational programs from SberUniversity for professional and career development
- extended voluntary health insurance (VHI), preferential insurance for family, and a corporate pension program
- free SberPrime+ subscription, discounts on products from partner companies
- referral bonus for recommending friends to join the Sber team.
