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Infrastructure Engineer (AI)

200 000 - 275 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Infrastructure Engineer (AI): Building and scaling cloud infrastructure, Kubernetes platforms, and deployment systems for high-volume data platforms and production LLM applications with an accent on multi-tenant deployments, cost efficiency, security, and observability. Focus on operating inference workloads, evaluation pipelines, model integrations, and reliable agentic workflows across SaaS, single-tenant, and private environments.

Location: Hybrid, based out of the downtown San Francisco office; remote work is available.

Salary: $200,000–$275,000 per year, depending on experience, plus equity.

Company

LlamaIndex builds AI products and infrastructure for document understanding and knowledge access.

What you will do

  • Build and maintain foundational infrastructure that enables engineering teams and supports company growth.
  • Design scalable infrastructure for SaaS, single-tenant, and private deployments.
  • Manage and optimize cloud resources and Kubernetes clusters for cost, performance, and reliability.
  • Improve release and deployment processes and maintain clear infrastructure boundaries for customer deployments.
  • Implement security measures and support compliance across deployment environments.
  • Build and operate infrastructure for production LLM applications, including model integrations, inference workloads, evaluation pipelines, observability, and agentic workflows.

Requirements

  • 8+ years of engineering experience.
  • Experience on Platform or Infrastructure teams with Terraform or CDKTF, Kubernetes, Helm, test infrastructure, release management, and observability.
  • Experience optimizing cloud resource utilization and tuning Kubernetes clusters for cost and performance.
  • Hands-on experience with LLM tooling and production AI systems, including model APIs, agent or RAG frameworks, evaluation and tracing tools, and LLM workload operations.
  • Ability to balance speed and pragmatism while building infrastructure for different stages of company growth.
  • Willingness to contribute to and help develop the engineering culture.

Nice to have

  • Experience building infrastructure from the ground up at a fast-growing startup.
  • Experience with Prometheus, Grafana, New Relic, ArgoCD, Flux, SOC2 compliance and audits, Python, Postgres, and multi-cloud deployments.

Culture & Benefits

  • Hybrid-friendly work environment with a San Francisco office.
  • Opportunity to work on innovative AI products and infrastructure.
  • Collaborative engineering culture with opportunities for professional growth.
  • Equity compensation and comprehensive medical, dental, and vision coverage.
  • Unlimited paid time off, daily catered lunch, and snacks at the San Francisco office.

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