The AI Marketing team is developing a platform for marketing process automation. We are confident that marketing, as one of the most creative and complex fields, can be transformed with the help of modern technologies.
Our goal is to implement innovative tools for reputation management, communications, research, and advertising activities.
We are creating a platform that uses artificial intelligence capabilities to provide a systematic approach for the work of marketing and communications departments, as well as other internal clients. Our project combines elements of machine learning, big data analysis, and a constant stream of non-standard tasks. We are proud of what we do and strive to improve and develop.
Our team is our value, where each specialist is important and unique. We highly value knowledge and the desire to bring real benefit to users. We believe that through coordinated work, we will achieve significant results.
We are currently looking for a developer to help make our product even better!
Join us if you want to be part of a team that is shaping the future of marketing by applying cutting-edge technologies. At Marketing AI, we are creating the future today!
Responsibilities
- development of services for implementation within the bank's infrastructure
- development of integration interactions between services and with other systems
- participation in the design of ML-service architecture
- optimization of service code for high performance and fault tolerance
- code review for compliance with bank standards, passing quality gates and validations
- implementation of connections to data sources, output of model or service results
- development of unit tests
Requirements
- Python development experience from 1 year
- REST API creation experience
- experience with databases, complex query implementation
- experience in creating applications and developing APIs in Python
- understanding of asynchronous programming, how it works in Python, ability to work with microservice architecture
- basic Docker knowledge
- bash, git
- unit test writing experience
- understanding of AI agent architecture (orchestration, memory, tools)
- knowledge of RAG (Retrieval-Augmented Generation) principles
- experience with LLM pipeline frameworks (LangChain, LangGraph, etc.)
Will be a plus:
- experience in designing high-load systems
- experience with vector databases (Elastic, OpenSearch)
- experience with Kafka, RabbitMQ
- experience with Redis
- skills in working with generative AI models
- experience in creating AI agents and using them in work will be an advantage
- experience with GigaChat, Kandinsky and similar tools in products, skills in creating and using AI agents.
Conditions
- office work format, hybrid after probation is discussed
- more favorable mortgage for each employee and preferential lending terms
- fitness rooms in offices
- free SberPrime+ subscription
- discounts on partner company products: Okko, Sber Market, Delivery Club, Samokat, Sber E-aptek and others
- voluntary medical insurance from day one and preferential insurance for loved ones
- corporate pension program
- referral program for employees: you can invite professional acquaintances to the team and receive a reward
