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Job Responsibilities: 1. Leadership & Stakeholder Management Leadership: Act as the subject matter expert for Agentic engineering. Guide the overarching AI technology stack selection, system architecture design,…
Designs and builds enterprise-scale generative AI systems using RAG, LLMs, and AI agents, integrating them into production applications.
Builds and owns the agent orchestration layer for a video intelligence platform, working closely with founders and customers while optimizing large-scale data ingestion and retrieval systems.
Leads the definition and delivery of agentic AI products that automate workflows, coordinate tasks, and integrate with real-world systems using LLM agents, tool use, and planning.
Senior backend engineer building scalable, secure healthcare data services in Python, integrating AI workflows and cloud-native infrastructure to power Truveta's health data platform.
Pour accompagner le développement de notre pôle Product Management et de nos offres Data & IA à Paris, nous recherchons un Product Owner / Business Analyst IA confirmé. Vous intervenez comme profil pivot entre les…
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Build and deploy healthcare AI systems, including agentic frameworks and fine-tuned models, to transform health data into actionable insights for researchers and clinicians.
Designs and deploys AI solutions for enterprise clients, focusing on GenAI, RAG, and agentic workflows while balancing technical, business, and operational needs.
Builds AI solutions (NLP, LLM, AI agents) for Sberbank’s strategy and development unit, integrating production-ready multi-service architectures into internal systems.
Develops AI agents and multimodal solutions using LangChain/LangGraph, integrates LLMs into products, and contributes to open-source projects in a Moscow office.
Design and implement the infrastructure for enterprise-grade AI agent systems, integrating LLMs, tools, and governance controls while working directly with customers to deploy production-ready solutions.
Builds AI agents that solve institutional investors' research workflows by deeply understanding their pain points and translating them into production-grade, scalable systems using Python/TypeScript, LangGraph, and cloud infrastructure.
Build and deploy AI features like RAG pipelines and GenAI applications using LLMs, Python, and orchestration frameworks, while evaluating performance and trade-offs in a collaborative environment.
Build and maintain AI-powered backend applications for a global financial client using Python, LLM frameworks, and Azure OpenAI in a collaborative team.
Senior engineer building and operating the AI platform that deploys, secures, and governs responsible agentic AI systems using cloud-native tooling and automation.
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology…
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range…
Job Description: DXC Technology is looking for a Data Scientist Consultant to support AI and Generative AI projects , contributing to practical solutions and improving business processes through ML models, NLP and…
Designs and implements enterprise data governance frameworks, ontologies, and knowledge graphs to ensure data trustworthiness, compliance, and AI-driven insights across platforms.
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