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Senior Software Engineer at NVIDIA building AI-enhanced test infrastructure and automation tools for GPU/CPU-based server products in Santa Clara.
Senior engineer to build and ship AI-ready data infrastructure, including an open governed context layer and retrieval systems, using Java, Python, React, and cloud-native tools.
Design and deploy enterprise AI solutions using LLMs, RAG, and agentic AI to automate decisions and workflows in a regulated environment.
Designs and oversees enterprise-scale AI systems, focusing on GenAI, RAG, LLM integration, and Arabic NLP/ASR, while ensuring compliance with Saudi regulations and seamless integration with Oracle Fusion and Microsoft Dynamics.
Lead and deliver generative AI and LLM projects for enterprise clients, designing RAG systems, agentic AI, and evaluation frameworks while mentoring teams in Brussels.
Senior AI/ML Engineer designs, deploys, and monitors enterprise-scale AI systems including generative AI, vector search, and RAG pipelines using Python, TensorFlow, and MLOps tools.
Designs and deploys AI/ML models and generative AI systems for insurance back-office modernization, using Python, MLOps, and cloud-native tools.
Designs, builds, and maintains AI-powered applications using LLMs and cloud services, integrating them with enterprise systems while ensuring security and performance.
Design and build secure, scalable backend systems that integrate GenAI/LLM capabilities with advanced guardrails for enterprise data protection, using cloud-native and Kubernetes-based architectures.
Senior Back End Engineer in Dallas, Texas, building and optimizing scalable backend services and APIs using Rust, Node.js, Python, and AI/LLM tools.
Builds and maintains scalable backend systems using Python, Go, and cloud services like AWS Amplify and Fargate, working in a fast-paced, growth-stage company.
Designs and builds backend components for a high-performance vector database used in AI infrastructure, focusing on scalable data structures and performance optimization in C/C++.
Build and launch AI-powered commerce products from scratch using Ruby on Rails and Python in a fast-moving startup-within-a-scale-up environment.
Senior Frontend Engineer at LanceDB building UI for vector databases and cloud services using TypeScript and React in San Francisco.
Builds and maintains scalable backend services in Go for a multimodal ML platform that processes video, images, audio, and documents, integrates LLMs via agents and MCP servers, and deploys on Kubernetes and AWS.
Lead the architecture and development of a large-scale enterprise GenAI platform using Go, React, and Kubernetes, integrating LLMs and ensuring enterprise-grade reliability for 180,000+ users.
Build and maintain scalable backend systems in Go that power multimodal ML pipelines (video, image, document processing) and LLM-driven applications on AWS and Kubernetes.
Designs data schemas, ontologies, and lakehouse architectures to make AI-native drug discovery possible, transforming raw scientific data into FAIR-compliant, machine-actionable assets for both scientists and AI agents.
Designs AI/ML architectures and data pipelines for AWS SageMaker, collaborating with data scientists and DevOps teams to build scalable LLM and ML solutions, including training, deployment, and model management tools.
Build and maintain the core platform for AI agents that perform real actions, orchestrate multi-agent workflows, and route tasks reliably in production at Pearson.
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