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Type of Requisition: Pipeline Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Top Secret Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job…
Artificial Intelligence Software Engineer Job Description The Opportunity: As an AI software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop…
Who You'll Work With: The Senior AI Engineer works with the Data Engineering team under the Center of Excellence (Data Science). This role operates at the intersection of AI engineering, data engineering, agentic…
Обязанности: По данной вакансии просим звонить по номеру: 8 (800) 333-30-73. Обязанности: Проектировать и обучать большие языковые и мультимодальные модели (от 7B параметров): подготовка корпусов, токенизация,…
Senior AI Software Engineer integrates AI/LLM tools into a large-scale enterprise Linux environment to modernize a legacy C/C++ codebase, focusing on code intelligence, developer tooling, and AI-assisted workflows.
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
Staff-level hands-on engineer who owns the platform and hard engineering behind Scale's RL environments for LLM training: sandboxed execution, packaging, rollout orchestration, trajectory capture, and trustworthy verifiers/graders. Core stack is Python plus another systems language, Docker/Kubernetes/gVisor/Firecracker, distributed backend systems, and LLM agent tooling.
Ми — українська продуктово-інженерна компанія у сфері DefTech, що спеціалізується на розробці та виробництві засобів цифрової обробки сигналів. Шукаємо Junior AI/ML Engineer, який хоче працювати над інженерними…
A new-grad Forward Deployed Engineer at Novita AI works hands-on with customers deploying AI workloads — integrating Model APIs, dedicated inference serving, and Agent Sandboxes, debugging across APIs, Linux, containers, and networking, and turning customer problems into product improvements. Core stack includes Python, cloud-native tooling, and LLM inference infrastructure.
Internship at Novita AI, an AI cloud platform, where the intern works directly with customers to debug and resolve production AI issues — integrating model APIs, scaling inference workloads, and building demos, scripts, and internal tooling — primarily with Python, Linux, APIs, and optionally Docker/Kubernetes and inference systems like vLLM.
Builds and operates production agentic AI/LLM systems — agent orchestration, RAG pipelines, and LLM serving — plus traditional ML on structured data to tackle risk and fraud on Tiko's healthcare platform. Core stack: Python, SQL, LangChain/LangGraph, and AWS-based tooling.
An experienced DevOps/Platform engineer takes end-to-end ownership of a production Kubernetes platform (Talos Linux, GPU nodes) serving LLM workloads with NVIDIA NIM and vLLM — troubleshooting cluster issues, performing rolling upgrades, and improving automation, observability and security. 100% remote on a 12-month B2B contract with a Stockholm-based team.
Platform engineer who owns the infrastructure behind Vectara's deploy-anywhere enterprise AI agent platform: Kubernetes clusters on AWS EKS/GCP GKE plus on-prem (incl. air-gapped), Terraform/Helm IaC, CI/CD with GitHub Actions/Bazel/ArgoCD, observability, and ML inference at scale, with some backend work in Java/Python/Go and an on-call rotation.
Leads architecture and performance for CoreWeave’s Kubernetes-native AI inference platform, optimizing GPU resource management and cost-per-token under strict SLAs.
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…
Designs and deploys AI infrastructure solutions for enterprise customers, focusing on LLM workloads and GPU-based cloud platforms.
Senior engineer builds and optimizes CoreWeave’s Kubernetes-native AI inference platform, improving latency, throughput, and reliability to meet strict P99 SLAs while mentoring peers.
Senior engineer building and optimizing CoreWeave's Kubernetes-native AI inference platform to meet strict latency and reliability SLAs, using Python/Go, CUDA, and distributed systems.
Senior engineer builds and runs Kubernetes-native benchmarking services to measure latency, throughput, and reliability across CoreWeave’s global AI cloud, publishing results like MLPerf.
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