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Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing distributed systems, agent protocols, LLM infrastructure, and cloud-native stacks to support secure, scalable agent workloads across the enterprise.
Designs, builds, and maintains Kubernetes-based AI engineering platforms for secure, sovereignty-sensitive environments, focusing on GitOps, observability, and CI/CD for AI-assisted SDLC workflows.
Design enterprise AI solutions using generative agents, RAG, and AIOps to automate IT service management workflows like incident handling, diagnostics, and resolution.
Build and run a secure Kubernetes-based platform that hosts AI engineering tools, GitOps workflows, and observability stacks for AI-assisted software development in sovereignty-sensitive environments.
A full-stack developer builds and maintains production web apps end-to-end, integrating AI features (LLMs, vector search), designing PostgreSQL databases, and handling CI/CD, Stripe payments, and webhooks. Focuses on pragmatic solutions, autonomous delivery, and end-to-end feature ownership from data layer to UI deployment.
Team lead for AI/ML projects: organizes DS/ML teams, sets LLM pipelines (RAG, fine-tuning), translates business needs into technical tasks, and ensures model quality and deployment in production.
Наша команда обеспечивает кибербезопасность GenAI-моделей, LLM-приложений, AI-агентов и мультиагентных систем, используемых миллионами пользователей. Основной фокус: кибербезопасность GenAI-моделей разных модальностей…
Build and validate AI-driven features for a no-code data-integration SaaS, using LLMs, vector DBs, and agentic frameworks to prototype and ship new capabilities.
Architect and own LSports’ GCP-based cloud platform and its agentic AI layer, designing scalable, secure systems for real-time sports data and LLM-powered automation.
Orange Business is here! About us Join us at Orange Business! We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic…
Наша команда занимается внедрением AI в процессы Банка в кооперации с коллегами из Казначейства. В процессе работы мы реализуем весь жизненный цикл агента - от сбора требований до внедрения решения в бизнес-процессы.…
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing agentic runtimes, LLM gateways, identity layers, and cloud-native infrastructure to support secure, scalable agent workflows across the enterprise.
Lead a team building scalable data pipelines and infrastructure for an AI-driven platform, designing systems for vector search, ML workflows, and real-time analytics using Python, Spark, Kafka, and vector databases.
Builds AI-assisted data pipelines to parse undocumented industrial codebases into structured documentation using Python, Neo4j, Qdrant, and LLMs.
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
Builds full-stack web apps in Python (Flask/Django) with React/TypeScript front ends, integrating LLM capabilities via RAG and processing large datasets with PostgreSQL, ArangoDB, and vector search.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
Build enterprise-grade web apps using Angular for the front end and .NET Core for back-end APIs and SQL databases, optimizing performance and collaborating with cross-functional teams.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Build and maintain production-grade GenAI agents in Python, integrating LLM tool-calling, RAG pipelines, and real-time speech/data systems for enterprise clients.
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