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Senior DevOps Engineer to design, build, and operate scalable infrastructure for an enterprise AI platform, using Kubernetes, cloud providers, and CI/CD pipelines.
Builds and optimizes high-performance ML systems for TPU hardware using JAX, XLA, and Pallas, focusing on inference/training workloads and compiler/runtime tuning.
Builds and optimizes large-scale AI inference systems for frontier models, focusing on performance, latency, and cost across thousands of GPUs.
Principal Architect leads the design of a GPU-powered simulation platform for AI data centers, enabling real-time power orchestration and validation of energy-aware compute systems.
Builds and maintains developer-facing tools (APIs, SDKs, dashboards) on top of AI inference/training infrastructure like SGLang and Miles, collaborating with product and research teams to create intuitive interfaces.
Optimize and accelerate LLM inference and training systems like SGLang and Miles by profiling GPU performance, writing custom kernels, and enabling new models on modern hardware.
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Senior AI Engineer Remote — US only · Full-time Are you passionate about building AI products people actually use, serving millions of users? Do you want to help lead the AI engineering effort at this country's…
Стек проекта: Python 3.12+, FastAPI, asyncio, PostgreSQL, ClickHouse, Kafka, Docker, OpenTelemetry, Prometheus/Graphana, ELK/Kibana, VictoriaMetrics/Jaeger, DWH Обязанности : Разработка и поддержка высоконагруженных…
Design and build confidential AI systems that run in trusted execution environments, ensuring model integrity and secure cloud-native deployment.
Design and build confidential AI systems that protect models and data using trusted execution environments, remote attestation, and secure provisioning in cloud-native and on-prem deployments.
Build and deploy India’s open healthcare foundation model: train a 30B-parameter MoE on 500B+ Indic-language tokens, then ship fast inference and robust evals for doctors and government use.
Optimize and deploy large language models for healthcare, writing CUDA kernels to speed up training and inference and quantizing models for on-device use in Indian clinics.
Research and post-train large language models for healthcare, adapting them to Indian languages and clinical workflows using SFT, preference optimization, and RL with physician feedback.
Senior DevOps/SRE engineer builds and maintains AWS-based IaC (Terraform), Kubernetes/ECS clusters, and CI/CD pipelines in Azure DevOps to ensure scalable, secure, and observable systems while supporting AI inference workloads.
Develop and deploy AI/ML models for fusion research, optimizing workflows on HPC systems and integrating LLMs into engineering tools like CAD and simulation software.
Build and run a secure Kubernetes platform for AI engineering tools, using GitOps and IaC to host model gateways, retrieval components, and CI/CD runners while enforcing strict data-sovereignty controls.
Build and ship AI features end-to-end, designing prompts, workflows, and systems to turn raw model outputs into reliable product behavior in production.
Привет! TOPCASE открывает двери для ML-инженера! Представьте мир, где ваш код не просто работает — он меняет жизнь к лучшему. Это место, где разработка софта — это искусство, а программный продукт помогает людям. Если…
Builds and deploys a distributed AI stack that offloads inference and workloads across a private PC cluster, integrating agentic frameworks with edge devices and enforcing security policies.
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