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Build and scale a high-performance search platform for GigaChat using OpenSearch, Python/FastAPI, and vector search (embeddings, ANN/HNSW) to deliver fast, accurate answers from the web.
Leads a 2-person team building ML models and GenAI agents for bank-card distribution logistics, optimizing delivery routes and customer interactions in a large Russian bank.
Builds and scales ML services, pipelines, and AI agents to extract insights from customer interactions across banking and ecosystem surfaces using Python, FastAPI, and ML/LLM stacks.
SRE engineer builds and improves monitoring for an HR platform using Grafana, VictoriaMetrics, Prometheus, and Zabbix, and develops AI agents in Python for anomaly detection and automated incident response.
QA engineer builds and runs manual and automated tests for backend services and AI agents in a large HR platform, using Python, REST APIs, PostgreSQL, and CI/CD pipelines.
Lead a DevOps team to maintain and scale CI/CD pipelines and infrastructure for a large HR platform, ensuring reliability and automation across hundreds of product teams.
Leads a team building and scaling a large-scale web-crawling and data-pipeline system in Python to feed AI training, focusing on distributed architecture, performance, and global traffic routing.
QA engineer builds and runs automated tests for a talent-management AI platform, covering web, backend, and AI agents using Python, REST/gRPC, Kafka, and PostgreSQL.
Builds and optimizes ClickHouse clusters, designs real-time ETL pipelines with Kafka and Bash, and monitors database performance for a user-analytics product.
Develops and maintains backend services for a GenAI agent platform in a bank, integrating LLMs, tools, and knowledge bases while ensuring cybersecurity compliance.
Senior Go developer building and scaling an AI assistant's backend that integrates LLM tool calling, REST/gRPC APIs, and databases to handle banking workflows.
Develops and optimizes a large-scale web-crawling system in Python to feed AI training data, focusing on async I/O, sharding, and distributed architecture.
Lead a data science team to enhance Sberbank Online’s AI Assistant by integrating LLM-powered search, optimizing models, and driving product strategy with production-grade MLOps.
Builds AI solutions (NLP, LLM, AI agents) for Sberbank’s strategy and development unit, integrating production-ready multi-service architectures into internal systems.
Develops AI-powered microservices and backend systems for GigaChat-based products, focusing on high-load distributed systems and ML model integration using Python and related technologies.
Builds and deploys AI/NLP models and LLM-based solutions to unify bank data, classify documents, and power AI-driven strategic decisions for executives.
Develops AI agents and multimodal solutions using LangChain/LangGraph, integrates LLMs into products, and contributes to open-source projects in a Moscow office.
Develops and maintains a Python-based AI agent that converts user queries to SQL for banking metrics reporting, focusing on backend logic, orchestration, and prompt engineering.
Senior Data Scientist builds and scales AI-powered search systems using LLMs, RAG, and agentic architectures to index and retrieve data across a large corporate data lake.
Data engineer builds and optimizes ETL pipelines and data storage for a large bank’s data lake, using Python, SQL, and big-data tools to support analytics and decision-making.
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