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About Company Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain…
Design and advise customers on generative AI and ML solutions using AWS services like Bedrock, SageMaker, and Nova, including RAG pipelines, agentic workflows, and model customization.
Senior engineer building and optimizing open-source AI frameworks (Megatron Core, NeMo) for large language and multimodal model training, fine-tuning, and deployment on NVIDIA GPUs.
Builds and tests enterprise cybersecurity and intelligence systems using Java, Python, and web UI tech in an Agile environment for national security.
Build and optimize generative AI models and inference pipelines for Snapchat’s AR and creative tools, delivering scalable, on-device experiences for millions of users.
Modernize and optimize the CESM Earth-system model’s software for performance, memory, and GPU portability, collaborating with scientists and engineers to integrate changes.
Develop and optimize Earth-system modeling software (CESM) using compiled languages like Fortran/C/C++, focusing on performance, GPU portability, and modern architectures for climate research.
Build and optimize generative AI models for Snapchat, including LLMs, video generation, and AR, focusing on efficient inference and on-device deployment.
Develops and optimizes distributed AI infrastructure and software for LLMs, vision AI, and robotics using Intel Xeon/GPU hardware.
Builds and optimizes inference stacks for large-scale Apple foundation models, enabling AI features across services like Siri and Photos with low latency.
Designs and evaluates MLOps pipelines and GPU-accelerated training systems, focusing on JAX/PyTorch and custom kernel optimization for AI research labs.
Build AI agents that autonomously plan, run, and interpret complex materials-discovery workflows, integrating simulations, experiments, and expert feedback to accelerate breakthroughs in sustainability.
Build and maintain secure, high-volume Java applications and APIs for global banking, using Spring Boot, microservices, and cloud platforms to support regulatory compliance and mission-critical transaction systems.
Design and build enterprise-scale data pipelines and warehouses in Snowflake, integrating Databricks and cloud storage to power analytics and AI-driven decisions for a large fintech platform.
Builds full-stack banking software using Java, JavaScript/TypeScript, Angular, React, Spring Boot, and Node.js, focusing on secure, scalable APIs and UI components for FIS clients.
Build and optimize AI infrastructure and distributed systems for training and deploying machine learning models in production, using Python/C++/Java and frameworks like TensorFlow/PyTorch.
Build production AI systems that turn LLM capabilities into reliable, context-aware applications, owning model integration, infrastructure, and deployment end-to-end.
LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home Location: San Francisco, CA, us, Remote Job Description LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home As…
Builds back-end microservices for government IT projects using Java, Quarkus/Spring Boot, and REST APIs.
Build and optimize scalable systems for training and deploying large language models, collaborating with research and infrastructure teams to push AI capabilities in production.
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