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Build and deploy ML/AI models (including GenAI) for pricing, personalization, and fraud detection in a restaurant-tech SaaS platform.
Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using LLMs, RAG, and vector databases.
Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
Build enterprise AI apps using LLMs, RAG, MCP servers, and Agentic AI with Langchain/LangGraph for a Boston-based insurer.
Build AI-powered finance copilots and chat experiences that help companies automate spend management using LLMs, retrieval, and structured financial data in a production-grade system.
Senior Generative AI Tester builds and automates test frameworks for LLM-based airline systems, validating accuracy, safety, and performance of AI agents and conversational AI used in airline operations.
Lead the design and deployment of production-grade AI systems, including LLMs, RAG, and agentic AI, using FastAPI/Flask and MLOps pipelines.
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…
Build and deploy multi-agent AI pipelines using LangGraph/LangChain, integrating AWS services and OCR tools to turn designs into working agentic workflows.
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.
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Builds Python/FastAPI backends and AI-driven automation pipelines, integrating LLMs and orchestration tools while developing ERP modules and data pipelines.
Design and build autonomous AI agents and multi-agent systems that automate business processes using RAG architectures with vector databases and external APIs.
Build and maintain cloud data pipelines and ML solutions using Python, SQL, and dbt on Google Cloud, AWS, and Azure.
Build AI agents and optimize backend systems using LangChain/LangGraph for an international IT consultancy.
Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
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