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Build end-to-end product features connecting Next.js frontends with Python/Node.js backends and LLM-powered AI inference pipelines, designing autonomous agent workflows with a focus on reliability and real-time interaction.
Build and maintain enterprise ERP web applications for a manufacturing technology company using C#.Net MVC, ASP.Net, ReactJS, and MS SQL Server, while integrating AI-assisted features such as LLM APIs and intelligent document parsing.
Presales AI Solutions Engineer guiding enterprise clients through AI transformation by showcasing Xinference and Xagent platforms, leading POCs, and designing secure cloud/hybrid architectures.
Hands-on AI Architect at TTEC designing multi-model platform architecture across Claude, Gemini/Vertex AI, and Copilot Studio, defining agent standards with MCP and Google ADK, and ensuring cross-pillar coherence across automation, AI, and product engineering.
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.
Senior technical architect driving Claude/GenAI adoption on Amazon Bedrock and AWS Marketplace—building PoCs, designing RAG and agentic workflows, and enabling AWS field teams and enterprise customers through workshops and co-sell engagements.
Agile Bridge is looking for an Agentic AI Engineer who can connect foundation models, enterprise knowledge and software tools into secure, reliable AI solutions. You will design and build flows, agents, skills and…
Design, develop, and deploy AI-powered document workflow and business process solutions using LLMs, NLP, Computer Vision, and Edge AI as part of HP's imaging team.
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…
Leads cross-functional DevOps/DevSecOps teams to remove systemic delivery impediments, manage roadmaps, and optimize program execution in a fintech exchange environment. Coaches Agile practices, aligns technical roadmaps with enterprise goals, and ensures data-driven operational efficiency.
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.
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