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Job Description Additional location(s) Compensation Information: Required Skills: Agile Tools, Agile Tools, Amazon Web Services (AWS), Atlassian JIRA, Build Automation, CI/CD, Cloud Applications, Code Reviews, Database…
Job Description: Closer to Space, closer to the Future: join Telespazio – Leonardo Space Division! Leonardo is a leading global industrial group in Aerospace, Defence and Security, delivering advance multi-domain…
Michael Page Colombia is hiring an AI Architect for a role in Bogotá (hybrid) to design, develop, and optimize AI models and embed AI tools into existing business processes alongside multidisciplinary teams. Core technologies include LangChain, Semantic Kernel, RAG architectures, and databases.
Lead AI Solution Architect at PNC's Corporate & Institutional Banking group, driving the agentic-AI rewrite of the legacy commercial real estate loan servicing platform. Owns the target architecture, makes real-time design decisions, and stays hands-on coding (Python/Java) with a small forward-deployed AI engineering team, working with LLMs, RAG, agent orchestration, and cloud-native AWS/Azure sta
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…
A senior individual contributor in Donaldson's AI Center of Excellence who leads end-to-end design, development, and deployment of enterprise AI and Generative AI solutions — from business discovery through production — using Python, Azure AI/Azure OpenAI, Snowflake, LLMs, RAG, and agent orchestration frameworks.
A full stack developer role in Singapore building scalable enterprise web, mobile and cloud-native applications, spanning frontend (React/Angular/Vue/Next.js), backend services and APIs (Java/Spring Boot, Node.js or Python), and databases, deployed on AWS/Azure/GCP with Docker and Kubernetes. A key focus is integrating AI into business apps — LLMs, RAG, chatbots and agents via Azure OpenAI, AWS Be
Senior developer on a 6-month temp-to-perm contract building Python microservices and APIs to orchestrate AI agents (LangChain, LangGraph, CrewAI, MCP servers) with RAG, guardrails, and enterprise security for a Canadian financial services and insurance client, in a hybrid Quebec Region role.
Everything is possible with the right people In4ge jest firmą rekrutacyjną, w której wierzymy, że wszystko jest możliwe dzięki odpowiednim ludziom. Naszym celem jest połączenie najbardziej utalentowanych pracowników z…
Backend engineer with 3+ years of .NET/C# building cloud-native APIs, microservices, and event-driven integrations on Azure (Functions, Service Bus, AKS, Key Vault) for BIP's clients, using AI assistants like GitHub Copilot and Claude Code as a routine part of the development workflow. Based in Madrid.
Leads end-to-end delivery of enterprise AI/ML systems, including chatbots, agent-based workflows, and cloud-native platforms, using Python, cloud services, and MLOps practices.
Lead a team building enterprise AI/ML systems, from architecture to deployment, including chatbots, agent workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
Principal Fullstack AI/ML Consultant designs, builds, and deploys enterprise-grade AI systems including chatbots, agent-based workflows, and cloud-native platforms using Python, cloud services, and MLOps tools.
About the Team and Our Scope We are a forward-thinking tech organization within Swiss Re, delivering transformative AI/ML solutions that redefine how businesses operate. Our mission is to build intelligent, secure, and…
Data Scientist at Nestlé Purina (pet care) who builds and deploys machine learning, statistical, and optimization models powering business decisions across Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. Core stack: Python, SQL, cloud platforms (Azure/AWS/GCP), MLOps/CI-CD, plus supporting GenAI applications like RAG.
Data Scientist / AI Engineer at Fujitsu in Madrid (hybrid) who designs, builds and scales AI systems based on bots and autonomous agents, turning business processes into automated, traceable workflows. Core stack: Python, agent frameworks (LangChain, LangGraph, Semantic Kernel) and AWS services like Bedrock, Lambda and API Gateway.
Backend engineer on Capgemini's Data & AI team in Madrid, building and shipping GenAI applications: REST/GraphQL microservices that integrate LLMs (Azure OpenAI, OpenAI, Vertex AI, Bedrock), RAG pipelines, and agent orchestration (LangChain, LlamaIndex, Semantic Kernel) on Azure/AWS/GCP with CI/CD, containers, and LLMOps practices.
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