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AI Engineer at IBM Client Innovation Centre Quebec (LGS) deploying and monitoring LLM/AI models into production using containers, CI/CD, and cloud AI services, while collaborating with data scientists on large-scale digital transformation projects.
Welcome to Your Next Adventure! We are looking for an Engineering Lead to own and drive Snoonu's Conversational AI and Driver Automation platform — a portfolio spanning IVR systems, multi-channel chatbots, and a…
The AI Software Engineer will lead AI experiments and develop Agentic AI solutions for the banking sector, taking projects from ideation to production. The role involves building LLM-based architectures, optimizing for scalability, and collaborating with cross-functional teams using Python and various cloud AI services.
Design and build autonomous AI agents and multi-agent systems using LLMs, agent frameworks, and production-grade AI platforms.
Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
AI Architect serving as enterprise design authority for AI architecture at a real estate firm, defining reference architectures, platform standards, and roadmaps focused on GenAI, LLMs, RAG, AI agents, and MLOps/LLMOps across cloud and on-prem environments.
Principal Software Engineer at Sinch Telco driving AI-powered development practices, using AI agents to design, build, and deliver software while shaping engineering workflows.
Build and deploy ML/LLM solutions end-to-end for diverse clients, from data prep to production APIs, while collaborating in a team of ML engineers.
Staff Software Engineer on Intuit's Development Productivity team, building AI-powered agentic platforms and workflows (code analysis, generation, automated review) using LLMs, AI frameworks, and OOP languages.
The Lead Data Scientist will oversee the enterprise AI strategy, managing teams focused on Generative AI, MLOps, and machine learning applications for HVAC and data center operations. This role involves leading the end-to-end AI lifecycle, from experimentation to production, while aligning technical initiatives with business goals.
Develops full-stack applications (UI + backend) for transaction monitoring and data controls, integrating GCP cloud services and AI-driven automation to enhance efficiency and decision-making.
Build AI Agent application modules (chat UI, knowledge bases, workflow engines) integrating LLM capabilities like RAG and tool calling, using Python/TypeScript, React/Vue, and FastAPI on a full-stack team at Surbana Jurong in Shanghai.
The Lead AI Engineer will architect and build autonomous, production-grade agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to enable intelligent, self-healing decision-making systems.
The Lead AI Engineer will architect and build production-grade autonomous agentic systems using Python, LangGraph, and various LLM orchestration frameworks. This role involves designing multi-agent workflows, managing state for long-running tasks, and integrating real-time data pipelines to support intelligent, self-healing applications.
The Senior Data Science Engineer will develop and implement Agentic AI solutions and mathematical models to optimize supply chain and business operations. The role involves building autonomous systems using frameworks like LangGraph and integrating LLM APIs to deliver actionable insights and data-driven products.
Design and deploy production-ready generative AI solutions and autonomous agents using Python, LLMs, and frameworks like LangChain, while partnering with MLOps and business stakeholders at a healthcare company.
About CrewAI CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies and a large…
Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across ABC News, National Geographic, Marvel, and Disney Studios using AWS, Spark, Kafka, and big data technologies.
Lead a Data Science & AI team at Synchrony Financial, prototyping and evaluating Generative AI and Agentic AI solutions (RAG, workflow automation, agentic orchestration) across AWS/Azure/GCP while driving readiness assessments and cross-functional delivery.
About this role: Wells Fargo is seeking a Quantitative Analytics Manager. Wells Fargo is seeking a hands-on Manager for oversight of development of Foundation models as well as Gen AI and Agentic applications…
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