for Sber's team to develop a multi-agent platform for automatic collateral valuation. Participation in the development of AI agents and backend services in Python.
Tasks:
- Development and refinement of AI agents in Python using FastAPI, aiohttp, LangGraph (or similar frameworks)
- Design and implementation of backend services for collateral valuation within a microservice architecture
- Creation and maintenance of ML model inference processes, integration of model predictions into the platform's main infrastructure
- Requirement analysis, functional formalization, design of the interaction architecture between agents and services
Requirements:
- Experience in Python development and backend services (FastAPI, aiohttp, or flask/aiohttp)
- Experience in designing and launching AI or rule-based agents in products
- Understanding of REST API principles, asynchronous programming in Python, event-driven approaches, and microservice integration
Conditions:
- Comfortable modern office near Kutuzovsky Prospekt metro station
- Work format – office/hybrid
- Employment under a fixed-term labor contract within the project
- Annual salary review, quarterly and annual bonuses
- Corporate gym and relaxation areas
- Over 400 educational programs from SberUniversity
- Adaptation program and mentor support at the start
- Extended Voluntary Medical Insurance (VMI), preferential insurance for family, and corporate pension program
- Flexible mortgage loan discount equal to 1/3 of the Central Bank's key rate
- Prime subscription with the possibility of sharing with three close contacts
- Referral bonus for recommending friends to the Sber team
Skills:
- Python
- FastAPI
- aiohttp
- LangGraph
- REST API
- ML
