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Build AI agents that analyze session replays to surface issues and recommendations using LLMs, vector databases, and orchestration frameworks.
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
Build and optimize AI agents and multi-step workflows using LLMs to solve real business problems like technical drawing search and insurance claims automation.
Designs and builds AI agent systems that automate complex workflows—like searching 3D/2D drawings or processing insurance claims—using LangChain/LangGraph and LLMs to deliver high-quality, automated solutions.
Build and extend SAP HCM add-ons, integrating AI features using ABAP, SAPUI5/Fiori, and cloud APIs to power HR solutions for large European enterprises.
Principal AI Engineer designs and builds a centralized AI platform and agentic frameworks for healthcare use cases, integrating clinical NLP, structured evidence graphs, and policy engines while ensuring regulatory compliance.
Build and deploy AI/ML systems for financial services, including LLMs, RAG pipelines, and agentic workflows using Python, cloud platforms, and MLOps practices.
Senior AI Product Engineer builds and maintains a multiplatform AI-powered document system, shipping end-to-end features with React, Node.js, PostgreSQL, and agentic AI workflows using LangGraph and MCP.
Build and ship AI-powered features and agentic workflows end-to-end, working directly with frontier model APIs like Claude and OpenAI to turn ambiguous opportunities into working products.
Senior Staff Data Scientist builds AI-driven labor forecasting and optimization systems using time series models, LLMs, and agentic workflows to dynamically schedule staff across 2,200+ stores.
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
Build and deploy AI systems that turn satellite imagery into actionable insights using computer vision and agentic LLM workflows, with a focus on geospatial data pipelines and model evaluation.
Build and enhance the LangSmith platform’s frontend using React and TypeScript, creating reusable components and optimizing performance for LLM application observability and debugging.
Build full-stack internal apps and AI-powered tools on DDN’s data platform, using Python, React, and GCP to automate and surface data for business teams.
Builds and maintains AI-powered backend services for a large bank, integrating LLMs, RAG, and agentic frameworks with enterprise systems using Java, Python, and cloud-native tools.
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it…
Build and deploy Generative AI applications using LLMs, RAG pipelines, and vector databases, from prototyping to cloud deployment on Azure/AWS.
Builds autonomous AI agents and multi-agent systems using LangGraph/LangChain to automate workflows, integrating LLMs and APIs for real-world actions.
Build and deploy production-grade Generative AI and Agentic AI systems on Microsoft Azure, designing multi-step agent workflows and RAG pipelines to solve complex financial-services challenges.
Meet the Team The Cisco IQ and Validation team is building intelligent automation and validation capabilities powered by Agentic AI. Our engineers work with Python, APIs, cloud-native technologies, LLMs, MCP, and…
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