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Builds scalable backend systems and integrates AI-powered features for an edtech platform that supports students' writing workflows, including plagiarism and AI-content detection.
Design and deploy enterprise-grade AI agents and ML systems using cloud-native tools (Azure AI Foundry, AWS Bedrock, Google Vertex) and open-source frameworks, ensuring reliability in regulated environments.
Builds and deploys Java-based backend services using Spring Boot, REST APIs, and microservices, with AI integration and cloud deployment on Azure/AWS/GCP.
Principal AI Data Engineer builds and deploys GenAI, RAG and Agentic AI prototypes using Azure AI Foundry, Databricks Mosaic AI and LangChain on Azure cloud.
Principal Architect defines and enforces AI-native architecture standards, ensuring a secure, scalable Decision Intelligence Platform that meets enterprise-grade regulatory requirements like FINRA/SEC.
Build and ship production-grade agentic AI systems in Python, integrating LLMs with tools, memory, and multi-agent workflows on Azure AI Foundry for real customer use cases.
Lead the design and deployment of AI agents on Snowflake Cortex, building scalable data pipelines and semantic layers to power intelligent experiences for Material Bank’s global material marketplace.
Desenvolve APIs e serviços backend em Java (Spring Boot/Micronaut) para uma healthtech, integrando agentes e modelos de IA com bancos de dados relacionais e NoSQL.
Predictive & Agentic AI Engineer Position Overview: Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI…
Build and scale production-grade AI agent systems, retrieval pipelines, and evaluation frameworks using Python, FastAPI, and vector databases.
Senior AI Engineer builds production-grade AI agent systems, designs agentic workflows, and deploys Python-based services using FastAPI, vector search, and Kubernetes.
Design and integrate GenAI/agentic AI solutions (RAG, MCP, workflows) with developer platforms and automotive middleware, using Python, LLM frameworks, and MLOps tooling.
Build and deploy production-grade ML models (forecasting, pricing, customer analytics) on GCP for a private-equity firm’s portfolio companies, owning end-to-end MLOps and raising team standards.
Зарплата: 200000–220000 RUR (на руки) Ищем инженера с опытом участия в разработке промышленных решений на базе AI. Обязателен опыт и реальные кейсы с LLM, например: разработка ассистентов на базе LLM, опыт…
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.
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