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4 дня назад

Enterprise AI Systems Engineer

165 000 - 206 000$
Формат работы
onsite
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
Enterprise AI Systems Engineer (AI/Python/TypeScript): Building and operating enterprise AI platforms, LLM gateways, MCP integrations, and agentic workflows across AWS and GCP with an accent on security, governance, cost control, and reliability. Focus on administering Claude, Gemini, OpenRouter, Cursor, and NotebookLM tenants, selecting models for sensitive workloads, and developing auditable internal automations.

Location: Austin, Dallas, San Francisco, or Washington, DC, United States. US work authorization is required.

Salary: $126,000–$157,000, $141,000–$176,000, $150,000–$187,000, or $165,000–$206,000 USD annually, depending on location tier.

Company

hirify.global Labs develops nicotine products and works to transition adult smokers away from combustible cigarettes while reducing underage use.

What you will do

  • Administer enterprise Claude, Gemini, OpenRouter, Cursor, and NotebookLM tenants, including provisioning, roles, configuration, and security settings.
  • Build prompts, skills, projects, connectors, documentation, and adoption programs for more than 250 users.
  • Operate MCP servers, gateways, and an LLM gateway for routing, authentication, rate limiting, logging, and policy enforcement.
  • Build agentic workflows and internal automations with evaluations and guardrails.
  • Architect and run AI workloads on AWS and GCP, including IAM, networking, secrets management, Bedrock, and Vertex AI.
  • Own Python and TypeScript code, CI/CD pipelines, telemetry, cost reporting, runbooks, and AI data-governance standards.

Requirements

  • 5+ years of software, cloud, or platform engineering experience, including recent hands-on work with LLM-based systems.
  • Experience administering enterprise SaaS or AI tenants at scale, including access management, configuration, cost control, and adoption.
  • Working knowledge of commercial and open-weight LLMs, prompt engineering, evaluation, retrieval, and agentic patterns.
  • Hands-on experience with MCP, LLM gateways, API integration, or middleware, plus AWS and GCP architecture.
  • Strong Python and/or JavaScript/TypeScript skills and experience with version control, testing, CI/CD, and infrastructure as code.
  • Must be authorized to work in the United States. A relevant bachelor's degree is preferred, or equivalent work experience.

Nice to have

  • Vertex AI, Amazon Bedrock, self-hosted open-weight model deployment, vector databases, RAG pipelines, Splunk or another SIEM, and cloud cost management experience.

Culture & Benefits

  • Career development support and opportunities to work with talented, committed colleagues.
  • Equity and performance-based bonuses.
  • Medical, dental, vision, disability, and life insurance.
  • Family support, wellness, legal, and employee assistance programs.
  • 401(k) plan with company matching, commuter benefits, cell phone subsidy, and product discounts.

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