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Вакансия открыта в Инновационном центре «Безопасный транспорт», который входит в структуру Московского метрополитена. С 2017 года мы собираем и анализируем Big Data всего Транспортного комплекса Москвы. Эти данные…
Leads a team to design and deploy a multi-agent GenAI system for data-quality monitoring, using LLM agents, RAG pipelines, and Python to detect anomalies and reduce business risks.
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Senior AI Engineer builds and deploys agentic LLM systems using frameworks like LangGraph and Crew AI to power Profitero+'s ecommerce analytics and automation tools.
Build and deploy enterprise-grade AI agents and agentic workflows using cloud-native tools, integrating multiple AI providers to automate and scale complex business processes.
Designs and builds generative AI systems using LLMs, agentic architectures, and RAG pipelines, then deploys and monitors them in production.
Lead a team building Python-based GenAI applications for financial-sector clients, designing scalable AI systems, RAG pipelines, and agentic workflows using LLM orchestration tools like LangChain.
System analyst building AI-native financial services for corporate clients, designing GenAI agents that automate tax compliance, liquidity checks, and payment flows.
Leads a team building a multi-agent GenAI system to detect and prioritize data-quality anomalies for Sberbank’s risk management, from hypothesis testing to production deployment.
Develops and maintains cloud-based AI agents and RAG pipelines on Azure, mentors engineers, and ensures production stability for healthcare diagnostic platforms.
Lead AI-driven data platform development, designing scalable systems with LLMs, RAG, and multi-agent frameworks to power enterprise intelligence.
Lydia AI - ORCA Lydia AI is building ORCA, an agentic AI platform that helps businesses research, analyze, and present complex information using AI-powered workflows. ORCA helps enterprises scale expert‑led work by…
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Design and deploy enterprise AI solutions, agents, and RAG workflows using Python, SQL, and cloud platforms like Vertex AI and Databricks to automate and enhance CN’s logistics operations.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Builds and deploys AI agents for a large Latin American bank, writing prompts, integrating with core systems, and turning pilots into production pipelines.
Builds production-grade AI applications (chatbots, RAG, agents) by refactoring prototypes into scalable, secure, and observable solutions using Azure AI services, full-stack tech (React/TypeScript, Python, .NET), and responsible AI patterns. Bridges business needs with engineering teams to accelerate AI adoption while ensuring governance, compliance, and maintainability.
Build full-stack GenAI agent products using Python/FastAPI and React/TypeScript, orchestrating LLM workflows with LangChain/LangGraph and deploying on cloud platforms.
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