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We are seeking a hands- on technically deep and strategic Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across technology domains. You will work directly with software…
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate…
Senior engineer owning the AI inference and runtime platform layer—serving open-weight LLMs on Kubernetes, building a microVM-based agent sandbox, and writing Rust/Python services for model lifecycle, autoscaling, and isolation.
ML Platform Engineer builds and scales AI model pipelines, deploys ML services on Kubernetes, and maintains FastAPI-based inference APIs for a large insurer’s internal AI ecosystem.
Principal Machine Learning Engineer at Anaplan builds and deploys AI features for business planning, integrating LLMs, prompt engineering, and conversational interfaces into production systems using Python and MLOps practices.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
Зарплата: 250000–380000 RUR (на руки) Обязанности: Разработка и совершенствование агентов поддержки на базе LLM и агентных процессов (agentic workflows). Работа с prompt- и context engineering, tool calling и…
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.
FuriosaAI is seeking a Senior Solution Architect to bridge the gap between technical teams and customers by designing AI inference architectures and optimizing pipelines on their proprietary NPU hardware. The role involves conducting PoCs, performing performance benchmarks, and providing technical support to ensure successful deployment of AI applications.
Build and optimize a high-performance inference engine for LLMs and multimodal models on FuriosaAI’s NPUs, collaborating with compiler and hardware teams to maximize throughput and efficiency.
About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea…
Senior SRE Engineer at Navan in Tel Aviv builds and maintains reliable, scalable platforms for AI-powered travel and expense systems, focusing on observability, automation, and AI provider integrations.
Авто Финанс Банк является специализированным автомобильным банком и имеет два основных направлениях бизнеса: автокредиты на автомобили и финансирование дилеров. Банк имеет высокий уровень инвестиционной надежности,…
This role involves building agentic AI systems to support rare disease research at the NIH, focusing on conversational workflows that capture structured data from clinical and scientific sources. The position requires extensive experience in production-grade LLM application engineering, including prompt engineering, structured output, and system evaluation.
The Senior Data Scientist will build and maintain AI-driven retrieval systems and knowledge layers to support rare disease research at the NIH. The role involves end-to-end development of data pipelines, semantic search, and user interfaces using Python, PostgreSQL, and LLM-based architectures.
Architect and maintain high-traffic LLM serving systems, optimizing throughput and latency using inference engines like SGLang, vLLM, and TensorRT alongside GPU programming tools like CUDA and PyTorch.
Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
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