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Build and improve production-grade GenAI applications using LangGraph/LangChain, integrating LLMs with enterprise systems and APIs. Core tech includes Python/Java, RAG, agentic workflows, and Kubernetes.
Presales AI Solutions Engineer guiding enterprise clients through AI transformation by showcasing Xinference and Xagent platforms, leading POCs, and designing secure cloud/hybrid architectures.
Designs, builds, and deploys AI/ML systems on Google Cloud to solve business problems, focusing on model optimization, MLOps pipelines, and agentic AI workflows for Crate & Barrel’s core products.
Staff ML Engineer designing and owning shared AI/ML capabilities—model training pipelines, evaluation frameworks, agent builder frameworks, and ML tooling—for Intuit's finance, accounting, and tax products using Python, LLMs, and cloud platforms.
Software Engineer II building and operating production ML models and AI-driven anomaly detection systems for Disney's streaming ecosystem (Disney+, Hulu, ESPN) using Python, PyTorch, FastAPI, and AWS.
At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create more inclusive, user-centric…
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Designs and leads agentic AI platforms for NVIDIA Marketing, translating marketing needs into scalable AI agents for personalization, recommendations, and workflow automation using LLMs, RAG, and enterprise integrations.
Leads AI agent development for NVIDIA’s local/hybrid AI capabilities across RTX platforms, coordinating engineering, research, security, and developer relations to define roadmaps, release criteria, and user experiences for private, efficient AI agents.
Artificial intelligence is moving from passive assistance to agents that can reason, use tools, and complete work on a person's device. NVIDIA is building the software foundation that helps developers and partners…
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
Sr. Director, Product Management - Enterprise AI/ML Sr Director, Product Management (PXDP65) Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value…
The Senior Machine Learning Engineer III will design, build, and optimize Retrieval-Augmented Generation (RAG) systems to deliver accurate, source-grounded AI solutions for legal and professional information products. The role focuses on vector search, document ingestion workflows, and evaluating AI performance to minimize hallucinations.
This 8-month internship involves working with the Applied AI Engineering team to build and integrate LLM-based features, backend APIs, and data pipelines. Interns will gain hands-on experience with technologies like Python, LangChain, and Azure OpenAI while contributing to real-world AI security products.
This is a hands-on Enterprise Architect role at Northern Trust that involves designing enterprise patterns and actively building AI agents, APIs, and automation solutions. The position requires a blend of architectural strategy and practical engineering, utilizing technologies like Azure, Python, and various AI frameworks.
The Senior GenAI Application Engineer will design, build, and maintain production-grade GenAI applications, focusing on agentic workflows, RAG, and enterprise system integration. The role requires strong backend engineering skills in Python or Java and experience with orchestration frameworks like LangChain or LangGraph.
The Senior GenAI Application Engineer will build and maintain production-ready enterprise GenAI solutions, such as chatbots and contact center assistants, using Java and orchestration frameworks like LangChain and LangGraph. This role focuses on backend engineering, system reliability, and integrating AI agents into existing banking infrastructure.
The Senior AI/ML Engineer will develop and deploy AI agents and LLM-based solutions to automate payment processes and improve anomaly detection within the Global Payments Technology team. The role involves end-to-end model lifecycle management, from data preprocessing to production monitoring.
The Lead AI/ML Engineer will design and deploy LLM-powered AI agents for payment processing while establishing AI development lifecycle (SDLC) and MLOps best practices. The role involves mentoring team members and collaborating across departments to deliver scalable AI solutions using Python and modern ML frameworks.
This Lead Software Engineer/Data Scientist role drives SEI's enterprise AI strategy, focusing on the design and deployment of Generative AI, RAG systems, and agentic workflows. The position involves architecting scalable AI solutions, establishing governance standards, and mentoring technical teams to integrate AI into financial services products.
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