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3 дня назад

AI Platform Engineer

123 000 - 154 000$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
AI Platform Engineer (AWS/LLM): Building and operating MCP infrastructure, agent platforms, Bedrock runtimes, and AI usage pipelines for secure enterprise automation with an accent on AWS infrastructure, governance, observability, and least-privilege access. Focus on designing production-grade agent deployment patterns, integrating LLMs across business tools, and making AI spend, identity, and data sensitivity auditable.

Location: Remote, Raleigh, United States

Salary: $123,000–$154,000 USD per year

Company

hirify.global develops cloud security technology, including Falco, an open standard for cloud threat detection, runtime insights, and agentic AI solutions.

What you will do

  • Build, secure, patch, and operate self-hosted and managed MCP servers and maintain the MCP registry.
  • Own the agent platform, including deployment patterns, guardrails, observability, hosting, and secure access.
  • Co-own the Amazon Bedrock runtime and gateway, including model access, cost attribution, content filtering, model pinning, and quota management.
  • Build an identity-matched Bedrock-to-Snowflake usage pipeline with tracking and threshold alerts.
  • Develop secure AI automations across Claude Desktop, Slack, and Google Workspace, including credentials and authentication flows.
  • Implement governance based on data sensitivity, least privilege, auditability, and model sandboxing.

Requirements

  • 6+ years of experience in software engineering, platform engineering, or DevOps, including production ownership.
  • Hands-on AWS experience with IAM, ECS or Lambda, CloudWatch, and VPCs.
  • Full-stack experience with backend services, APIs, CI/CD, and containerized deployments.
  • Ability to build MCP servers or API integrations from scratch.
  • Hands-on experience with LLM APIs, prompt engineering, and agent development.
  • Strong ownership, automation, self-direction, and judgment in buy-versus-build decisions.

Culture & Benefits

  • Remote work environment with a focus on open dialogue, ownership, and shipping improvements.
  • Extra days off and mental health support for employees and families.
  • 401(k) Retirement Savings Plan with a 3% company match.
  • Maternity and parental leave.
  • Full health benefits for employees and families.

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