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Lead the development of AI-powered search models (LLMs, RAG, vector search) for Caterpillar’s eCommerce parts platform, optimizing relevance and personalization to improve customer experience.
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Lead AI Engineer designs and deploys enterprise-scale Agentic AI systems using LLMs, RAG pipelines, and orchestration frameworks to automate business processes and improve decision-making.
Lead a team building secure, scalable AI platforms in Java/Spring Boot for JPMorganChase, integrating retrieval-augmented generation and agentic workflows while mentoring engineers and enforcing responsible AI practices.
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, focusing on RAG, agents, and MLOps in a regulated financial environment.
Embed with enterprise clients to deploy and scale AI platforms (OpenAI, Anthropic, Google, etc.) into production, ensuring reliability, adoption, and measurable business value.
Build and operate cloud-native data platforms and AI-powered applications for Disney’s vacation brands, designing end-to-end data pipelines and machine-learning systems.
Build and deploy ML models to predict customer churn and personalize marketing at Verizon, using Python, SQL, and cloud tools like GCP/AWS.
Senior QA Automation Engineer builds and maintains Python-based test frameworks for financial applications, using Selenium, REST APIs, and AI tools like GitHub Copilot to ensure high-quality software delivery.
Build and maintain data pipelines in Snowflake that feed AI and GenAI tools, unifying travel-industry data from portfolio companies and SaaS platforms for analytics and AI-driven insights.
Build and integrate AI agents, RAG, and SLMs into production systems using LangChain, LangGraph, and containerized workflows.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native microservices, AI/ML integration (LLMs, agents), and modernizing legacy systems to improve operational efficiency and customer experience.
Lead a team to architect and deliver scalable digital banking platforms using Java, Spring Boot, and microservices, while embedding AI tools to boost engineering productivity and code quality.
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest enterprise customers. This…
Lead architecture and delivery of Bleacher Report’s full-stack sports platform, including GraphQL APIs, real-time data pipelines, and mobile/web clients for live scores, articles, and fan engagement.
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
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