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Senior full-stack consultant embedded with clients to design scalable cloud-native apps (TypeScript/React/NestJS), lead backend architecture, and mentor teams while bridging technical and stakeholder communication across US/Nordic projects.
Build and deploy AI agents and workflows for an insurance-industry client, integrating with dev tools and CI/CD pipelines.
Embedded AI engineer at Google Cloud who builds, deploys, and optimizes production-grade agentic AI systems for enterprise customers, bridging Google’s AI products with client infrastructure while feeding insights back to product teams.
Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of…
Привет! Это команда Возвраты ML. Мы ищем талантливого Data Scientist/ML Engineer в новую ML-команду отдела «Возвраты маркетплейса». Отдел занимается обработкой и модерацией возвратов покупателя и продавца, аннуляциями,…
Мы — ООО « Датаномика » , решаем проблемы структурирования разнородных данных, которые сложно поддаются анализу, помогаем среднему и малому бизнесу, банкам, ритейлу использовать данные чеков для оценки конъюнктуры…
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Build and maintain Nexxen’s internal AI platform, designing reusable AI capabilities, multi-agent systems, and production-grade AI services using Python, Kubernetes, and modern cloud-native tools.
Build and scale production AI systems for English Language Learning, developing agentic content generation workflows and LLM-powered services (Conversation Brain, Ambient ORA) that serve multiple Pearson products. Work with Python (FastAPI, CrewAI, LangGraph, LangChain), Azure, and observability tools to operationalize AI from research into production.
Build and maintain scalable data pipelines and ML workflows on GCP, deploying models from notebooks to production using orchestration tools like Airflow.
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
Hands-on technical leadership role designing and delivering production-grade Generative AI and Agentic AI solutions, including LLM-powered applications, RAG pipelines, multi-agent architectures, and LLMOps using Python, agent frameworks, and cloud platforms.
Architect and build an enterprise-grade Agentic AI orchestration platform using Claude APIs, LangGraph, LangChain, RAG, vector databases, MCP, Python, and FastAPI in a senior technical leadership role.
Обязанности: Разрабатывать AI-сервисы и AI-агентов для банка (AI-Nur, GenBI, Voice AI, внутренние AI Copilot). Создавать backend-сервисы на Python, API и микросервисную архитектуру. Интегрировать LLM, RAG, MCP, базы…
Leads AI-driven development of insurance products by designing agentic AI systems, optimizing LLM inference, and delivering full-stack features.
Design and deploy LLM-powered features, build RAG pipelines, and implement agentic workflows using Python and Azure, focusing on evaluation and integration with minimal supervision.
Leads a team of data scientists in Austin to design and deliver production-grade AI solutions for enterprise clients, focusing on GenAI and cloud-native development.
Build production-grade GenAI/LLM applications for Australia’s largest companies using Python, LangChain, and cloud platforms like AWS/Azure/GCP.
Builds production-grade GenAI/LLM applications for Australian enterprises, blending technical AI development (Python, LangChain) with client collaboration to solve complex business problems using cloud infrastructure and modern AI frameworks.
Leads AI solution design and delivery for clients, managing data science teams to build generative AI applications. Focuses on technical leadership, team mentorship, and translating AI capabilities into business solutions.
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