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Looking for an AI Engineer to Develop, deploy, and operate AI/LLM models across Clinets dual environment — GCP for public-cloud workloads, Humain sovereign cloud for classified data. Requirements Build and fine-tune…
Forward Deployed Engineer at DeepInfra designs and runs AI inference benchmarks, tunes deployments on cutting-edge hardware, and partners with sales to win enterprise deals.
Job Description AI Field Engineer - Enterprise Employment Type: Full-time Work Mode: Hybrid (US-based, remote-friendly) Location: San Mateo, CA / New York, NY Compensation: $176K - $224K Base (OTE: $220K - $280K)…
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Build, optimize, and deploy large language and multimodal models for industrial use, focusing on training, compression, RAG, and agent workflows.
Lead architecture and deployment of production AI systems, optimizing inference pipelines and mentoring engineers in a fast-growing company.
1、负责多模态/大模型（含视频、音频、图文等方向）在工业化数据生产线与业务落地中的模型推理与部署工作，保障大规模算法服务的高效、稳定运行； 2、负责模型推理性能的优化与加速（如量化、算子优化、推理框架调优等），在保障效果的前提下提升吞吐量、降低延迟与硬件成本； 3、参与高效、稳定的数据处理与自动化标注流水线建设，负责相关 Infra 系统的架构设计、核心代码编写与维护；…
Build and optimize distributed systems that run large language models efficiently across Intel hardware, focusing on inference performance, parallelism, and communication.
Mid-level AI developer building and integrating locally hosted LLMs and ML models into classified government systems, focusing on secure, air-gapped environments and production-grade AI features.
Mid-level AI developer building and integrating locally hosted LLMs and ML models into classified government systems, focusing on secure, air-gapped environments and production-grade delivery.
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Обязанности: Разрабатывать системы анализа здоровья: наше ключевое направление AI, который помогает пользователю понять своё состояние и вовремя дойти до врача; Внедрять AI-фичи в продукт и в компанию: интеграция LLM…
Build and deploy quantized large language models for in-vehicle AI, focusing on PTQ, QAT, and low-bit inference to ensure numerical consistency and performance on XPENG’s Turing AI chip.
Build and deploy quantized large language models for in-vehicle AI, focusing on PTQ, QAT, and low-bit inference to optimize performance on XPENG’s Turing AI chip.
Builds and optimizes inference stacks for large-scale Apple foundation models, enabling AI features across services like Siri and Photos with low latency.
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
1.主导设计和研发下一代分布式多级分层缓存加速系统，基于 GPU 主机本地内存、NVMe SSD、远端并行文件系统构建大容量弹性扩缩容的多级缓存架构，实现数据按需与透明加速； 2.参与设计和研发百 PB 规模的分布式文件缓存系统，支撑自动驾驶、大语言模型等业务的大规模分布式 AI 训练集群； 3.设计并实现智能数据放置与生命周期管理策略（如基于访问热度的分层调度、TTL/LRU 淘汰、预取优化），降低 GPU 因存储 I/O…
Build and operate secure Kubernetes-based platforms for AI-assisted software development, including GitOps, private registries, and observability, ensuring security and auditability in sovereignty-sensitive environments.
Build and maintain automated QA flows and benchmarks for AI frameworks like PyTorch and vLLM, validating performance across hardware and integrating tests into CI/CD pipelines.
Develop and optimize AI frameworks like vLLM and PyTorch, focusing on distributed algorithms and performance tuning for deep learning models across hardware backends.
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