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Senior AI Engineer at Mastercard designs and builds enterprise-scale generative AI systems, multi-agent orchestration, and multimodal pipelines using LLMs, RAG, and agentic frameworks to drive data-driven business insights.
Build and maintain Power BI reports and Snowflake data pipelines for portfolio performance, then layer LLM-powered AI workflows on top to make financial data conversational and actionable.
Senior AI Engineer partners with enterprise customers to design, build, and deploy predictive and generative AI solutions using Python, LLMs, and agentic frameworks like LangGraph or CrewAI.
Designs, builds, and deploys production-grade AI systems using LLMs and foundation models to automate clinical workflows in healthcare, focusing on reliability, scalability, and responsible AI.
Build and deploy AI-powered financial services features like natural-language data transformations, integration suggestions, and data-quality detection using LLM pipelines, RAG, and agentic workflows.
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in strategy consulting focus on providing strategic…
We're hiring a Senior AI Agent Engineer to design, build, and scale production grade AI agents that automate real business operations, not prototypes or demos. You will own the full lifecycle of agentic systems:…
We’re seeking a highly skilled and innovative Senior AI Engineer to design, build, and optimize advanced artificial intelligence solutions that drive innovation and efficiency across AbsenceSoft’s leave management…
Artificial intelligence is rewriting every industry it touches — but construction, the second largest sector in the global economy, has barely felt it yet. That's not a problem. That's an opening. ZeroRFI is…
Senior AI Engineer builds and deploys AI agents that analyze geopolitical and financial signals using retrieval, agentic workflows, and Kubernetes on AWS, working hybrid in Madrid.
Senior engineer building and deploying AI-powered applications using LLMs, RAG, and agentic workflows to automate processes and enhance decision-making in a production environment.
Designs and builds AI agents, integrates them into products, and ensures reliability and scalability using Python, GCP, LLM APIs, and agentic frameworks like LangChain.
Overview We are seeking a Senior GenAI / Agentic AI Engineer to design, build, and deploy enterprise-scale AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI,…
Builds and maintains an AI assistant's core engine using Python, RAG, and LLM orchestration to execute customer requests safely in production.
Senior AI Engineer at zooplus builds AI-driven tools to enhance software development workflows using MCP, LLMs, and context engineering, primarily in Madrid.
📌 About the Role Jus Mundi is building the AI layer for international law and arbitration — turning a vast, multilingual corpus of case law, treaties, and legal analysis into answers practitioners can trust. We are…
An embedded AI engineer builds and deploys generative AI systems on AWS for financial services and healthcare clients, starting by performing the operator’s job before automating it.
Senior AI Engineer designs, trains, and deploys AI models (ML, LLMs, computer vision) and builds end-to-end pipelines for production-ready AI solutions.
Builds and deploys AI-powered micro-apps, agents, and integrations for an insurtech company, hardening them for production on a governed GCP platform.
Senior software engineer building and deploying production AI systems, including LLMs, agentic workflows, and intelligent automation, using React, Node.js, TypeScript, and Python.
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