Description
Our team is focused on implementing the concept of creating a solution for flexible, adaptive management of customer journeys and processes, using artificial intelligence models.
Responsibilities
- designing NLP models
- setting tasks for the Data Scientist (NLP) team
- code review for the team
- developing solution architecture based on AI tools.
Requirements
- developing approaches for configuring AI agents to solve business problems
- developing architecture for multi-agent environments (communication protocols between AI agents, context transfer)
- developing approaches to solve non-functional requirements in multi-agent environments (speed, reliability, security)
- participation in solution implementation
- identifying areas for improving the quality of AI agent performance based on user feedback.
Tasks:
- conducting research through prototyping
- developing tools for AI agents
- developing technical documentation
- building a detailed solution architecture.
Conditions
- comfortable modern office near Kutuzovskaya metro station
- hybrid work format
- annual salary review and annual bonus
- corporate gym and recreation areas
- Sber's unique training system for professional and career development
- extended voluntary health insurance (VHI), preferential family insurance, and corporate pension program
- free SberPrime+ subscription, discounts on products from partner companies
- referral bonus for recommending friends to join the Sber team.
