Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$130к-180к/год
$140к$170кмедиана$220к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.3к/мес ($2.8к - $4.2к)
78
Хорошая вакансия
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Это высокоуровневая роль в самом трендовом сейчас домене с передовым стеком. Единственные минусы - работа в аутсорсе и неоправданно высокий порог по опыту.
AI Platform Engineer (LLM Serving/Cloud Infrastructure): Building and operating enterprise-scale AI inference and model-serving platforms with an accent on distributed systems, Kubernetes, GPU optimization, and cloud-native infrastructure. Focus on optimizing inference latency and throughput, designing autoscaling and request routing, implementing MLOps lifecycle management, and ensuring observability, security, and high availability.
Location: 100% remote within the Continental United States
Salary: $130,000–$180,000 annually, based on experience.
Company
hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
Design, build, and maintain scalable AI inference and model-serving platforms for production environments.
Architect highly available cloud-native infrastructure for LLMs, foundation models, and machine learning services.
Implement model deployment, versioning, rollback, lifecycle management, monitoring, logging, tracing, and alerting.
Build caching, API gateway, authentication, authorization, security, and high-availability solutions.
Collaborate with AI researchers, ML engineers, DevOps teams, and software engineers while mentoring engineers and driving infrastructure optimization.
Requirements
Must be based in the Continental United States.
10+ years of professional experience in distributed systems, infrastructure, cloud platforms, or machine learning platform engineering.
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical discipline.
Strong Python skills and proficiency in Go, Rust, or C++.
Experience with LLM serving, model inference optimization, vLLM, TensorRT-LLM, Triton Inference Server, Ray Serve, or similar frameworks.
Expertise in Kubernetes, Docker, cloud platforms, CUDA, NVIDIA GPUs, distributed systems, networking, observability, and security.
Nice to have
Experience with multi-region AI platforms and globally distributed inference services.
Knowledge of quantization, pruning, compression, speculative decoding, KV cache optimization, and mixed-precision inference.
Experience with MLOps, GitOps, Terraform, Bicep, CloudFormation, and CI/CD automation.
Familiarity with Istio, Linkerd, API gateways, event-driven architectures, FinOps, and enterprise AI governance.
Open-source contributions, technical publications, patents, conference presentations, or experience supporting large-scale AI APIs.
Culture & Benefits
Full-time direct W2 employment.
Career growth within an established technology consulting and software development organization.
Work remotely within the Continental United States.
U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are eligible to apply.
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