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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer - Observability based in United States. This is a hands-on senior…
The AI Engineer will build and deploy stateful agentic systems and multimodal RAG pipelines for a fintech platform. The role involves architecting production-grade AI solutions on AWS/GCP, implementing security guardrails, and managing the full lifecycle of generative AI models.
Build and deploy AI-powered agents and retrieval systems for a fintech analytics platform, shaping how AI is embedded across operations and client solutions.
Responsibilities: Architect and implement data lakehouse solutions to centralize and harmonize supply chain and procurement data from multiple enterprise systems Design and deploy data ingestion pipelines for…
Зарплата: 1500–2000 USD (до вычета налогов) Responsibilities: — Design, build, and improve production NLP/LLM systems, including RAG, search, AI agents, document intelligence, and multilingual NLP. — Build retrieval…
Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, seeks an AI & Cloud Architect to define the strategy for an enterprise AI…
Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, is building intelligent automation and decision-support systems for telecom-scale…
Навыки: Python, Keras, TensorFlow, PyTorch, Машинное обучение, Linux, Docker, Git, Bash. Квалификация: Lead. Специализации: Промпт-инженер. Дневник.ру входит в ТОП-10 мировых образовательных платформ по посещаемости.…
Зарплата: от 300000 RUR (на руки) Rossko - российская компания, основанная в 1997 году. Мы занимаемся производством и дистрибуцией автозапчастей. Мы работаем в России, Казахстане и уже сотрудничаем с Эмиратами. Наши…
Designs and implements generative AI and agentic systems for enterprise clients, focusing on LLM-powered workflows, tool integration, and reusable architectures.
Build and maintain data pipelines, storage (including vector databases), and a metrics layer to power AI agents for customer support data, using big data tools, Python/PySpark, and cloud data warehouses.
Build and maintain an existing PHP backend while developing AI agents, RAG systems, and LLM integrations in Python for a SaaS product.
Senior Manager Generative AI Architect at PwC Bangalore, designing and implementing enterprise Agentic AI frameworks, RAG architectures, and multi-agent systems while leading client engagements across cloud AI platforms.
The AI Architect will lead the design and implementation of enterprise-scale AI and Generative AI solutions, serving as the technical authority for AI initiatives. The role involves defining architecture roadmaps, establishing governance standards, and mentoring teams using technologies like LLMs, RAG, cloud platforms, and MLOps.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
Line of Service Advisory Industry/Sector Not Applicable Specialism Emerging Technologies Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on…
Key Responsibilities Design, develop, and maintain responsive, high-quality web applications across the full stack. Collaborate with product managers and designers to translate business requirements into technical…
Design and implement AI-native application cores—LLMs, vector databases, RAG systems, and multi-agent orchestration—for web and mobile products, using Python, FastAPI, Docker, Kubernetes, and various vector DBs.
Principal Machine Learning Engineer at Anaplan builds and deploys AI features for business planning, integrating LLMs, prompt engineering, and conversational interfaces into production systems using Python and MLOps practices.
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
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