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9 часов назад

Senior Platform Engineer (AI Systems)

206 000 - 232 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Platform Engineer (AI Systems) (Kubernetes/GKE, MCP, Terraform): Building and operating secure internal AI platforms, agentic workflows, MCP servers, and enterprise knowledge connectors with an accent on cloud-native infrastructure, agent authentication, and tiered autonomy. Focus on implementing verifiable state and revert mechanisms, human-in-the-loop safeguards, and production-grade GitOps delivery for LLM tool use.

Location: Remote; US-based and non-US-based positions are available.

Salary: $206,000–$232,000 per year for US-based positions; non-US compensation is location dependent.

Company

hirify.global builds Bitcoin-powered financial products for individuals and businesses, including bitcoin trading, bill payments, and borrowing services.

What you will do

  • Build and operate the internal AI platform connecting agentic tools to core platforms, including internal MCP servers on GKE, Helm, and ArgoCD.
  • Deploy and configure IDE agents and create orchestration layers and secure runtime environments for LLM tool use.
  • Build enterprise knowledge bases and connectors that allow agents to reason across disparate data sources.
  • Implement tiered autonomy, verifiable state, revert mechanisms, authentication, authorization, and human-in-the-loop safeguards.
  • Deliver security and infrastructure changes through Terraform, IaC, and GitOps pipelines.
  • Embed with engineering teams to identify units of toil, improve workflows, and support adoption of AI-native tools.

Requirements

  • Production experience building, deploying, and operating Kubernetes systems, ideally GKE, with Helm and ArgoCD.
  • Experience managing cloud infrastructure as code with Terraform or an equivalent tool on GCP, AWS, or Azure.
  • Experience with enterprise secrets management, least-privilege access, Shift-Left security, and Zero Trust principles.
  • Hands-on experience with AI enablement patterns including MCP, RAG, function calling, evaluations, and agentic systems.
  • Polyglot systems engineering experience across frontend, backend distributed systems, and cloud infrastructure; C#/.NET, Python, and TypeScript are used in the environment.
  • Ability to communicate complex AI concepts clearly and collaborate with engineering teams.

Culture & Benefits

  • Remote work with benefits and compensation dependent on location outside the US.
  • US-based positions include equity in a high-growth startup, health, dental, and vision insurance contributions, and disability and life insurance.
  • US benefits include flexible PTO, sick leave, parental leave, a 401(k) plan, and cell phone and internet reimbursement.
  • No educational credentials are required for hiring decisions.
  • A human is involved in recruitment decisions alongside AI-assisted application review.

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