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Builds and scales production-grade AI/LLM systems, including RAG pipelines, chatbots, and automation workflows, using Python/JS and cloud infrastructure to solve enterprise challenges.
Design and build security-focused software features, automate threat detection, and improve scalability and reliability for Cisco’s products.
Lead the technical design of enterprise systems for plasma-derived therapies, using modern web stacks and cloud-native patterns while embedding AI capabilities and mentoring engineers.
Design and scale real-time data pipelines for AI systems, including RAG pipelines, vector databases, and semantic layers to power agentic AI reasoning over enterprise environments.
Design and scale real-time data pipelines for AI systems, including RAG and vector databases, to power agentic reasoning over enterprise IT environments.
Builds responsive web and mobile UIs with React/React Native while integrating AI features like LLMs, prompt engineering, and agent workflows to create intelligent user experiences.
Designs and deploys AI/ML and generative AI solutions (LLMs, RAG, vector databases) for enterprise applications, focusing on document intelligence, knowledge management, and automation to improve operational efficiency in climate and energy solutions.
Lead the strategy and delivery of an AI platform for healthcare, building LLM/SLM-powered automation, RAG pipelines, and trustworthy AI workflows to reduce administrative burden and improve clinical decision-making.
Build and optimize Neo4j graph models to detect fraud rings and money laundering in real time for banking clients, using Python, GDS algorithms, and Bloom dashboards.
Leads AI architecture and development of agentic/Generative AI systems, including LLM-powered agents, RAG pipelines, and multi-agent workflows, while mentoring engineers and collaborating cross-functionally to deliver scalable, production-grade solutions.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
The Lead Software Engineer will design, develop, and lead complex enterprise-wide technology initiatives for the Cards and Personal Loans onboarding team. The role focuses on J2EE, microservices, and cloud-native architectures while mentoring teams and driving engineering best practices.
Lead and manage an engineering team building Java-based enterprise banking platform services with GenAI integration at Wells Fargo in Bengaluru.
Data/AI Engineer VP building scalable, data-driven software solutions for Barclays' Liquid Financing business, primarily using Python/Java, AWS services, Kubernetes, and AI/ML integrations.
The Data Scientist Consultant will analyze complex, unstructured data to build and deploy machine learning models and AI-driven solutions for clients. The role focuses on leveraging Python, SQL, and modern AI frameworks like LLMs and RAG patterns to create actionable business insights.
Build and maintain data products, semantic layers, and AI-ready data structures in Palantir Foundry, Envision, Maven, Vantage, and AskSage for the Air National Guard CDAO, using SQL, Python, and Azure integrations.
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Build enterprise banking platforms and integrate AI features like document processing and decision support using Java/Node.js/Python and React/Angular with LLM APIs and RAG pipelines.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
The AI Engineer will design and build agentic workflows and RAG pipelines to automate business processes using LLMs. This role focuses on orchestration, tool integration, and system evaluation rather than model training.
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