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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.
CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine,…
Мы создаём мультиагентную AI-систему нового поколения для проектирования процессов. Мы ищем специалиста с сильным техническим бэкграундом в области AI и опытом управления распределенными командами. Вы будете…
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.
Build and deploy AI-powered applications and models, including LLMs and agentic systems, using Python and full-stack development skills.
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…
Builds and optimizes real-time AI teaching backends and prompt systems to improve conversational stability, safety, and educational outcomes using Java/Spring and LLM orchestration.
Build and deploy production AI features using Python, FastAPI, LangChain, and vector databases, integrating with LLMs for scalable agent systems.
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 and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Build and deploy multi-step AI agent workflows using LangChain, LlamaIndex, and platforms like Azure AI Studio Agents or AWS Bedrock Agents, integrating APIs and databases for automation.
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.
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