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Senior Applied AI Engineer

167 300 - 245 355$
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
Senior Applied AI Engineer (LLM systems/cybersecurity): Building applied AI research systems, agent evaluations, prototypes, APIs, and production integrations with an accent on measurable agent behavior, model selection, reliability, and cost-performance tradeoffs. Focus on designing self-improving agent loops, evaluating hosted and self-hosted models, optimizing inference workflows, and transferring validated systems into production.

Location: Colorado, United States

Salary: $167,300–$245,355 USD annually base pay for Colorado and other listed U.S. markets

Company

hirify.global provides human- and agent-centric cybersecurity solutions that protect people, data, and AI workflows across email, cloud, and collaboration tools.

What you will do

  • Lead applied AI research projects from question framing and baseline creation through experimentation, measurement, and actionable decisions.
  • Build self-improving agent systems that run evaluation loops, recover from failures, and support long-running tasks.
  • Extend evaluation platforms with task suites, regression checks, and measurements for quality, cost, and speed.
  • Work with third-party model APIs and open-weight models deployed on company GPU infrastructure, including fine-tuning and efficient serving initiatives.
  • Build prototypes, playgrounds, and APIs, then advise production teams on AI integration, monitoring, and system understanding.
  • Mentor engineers and collaborate with stakeholders to turn real operational problems into valuable research.

Requirements

  • 5+ years of experience building software and ML systems; 7+ years preferred.
  • Recent hands-on experience taking LLM systems beyond the prototype stage.
  • Daily experience with Claude Code, Cursor, or similar coding agents while maintaining high standards for correctness and testing.
  • Strong Python skills and solid machine learning fundamentals.
  • Experience with third-party model APIs, open-weight models, production agents, and evaluation systems.
  • Familiarity with Kubernetes inference platforms, Flyte, LiteLLM, Langfuse, and internal evaluation and tracing tools.

Nice to have

  • Experience fine-tuning or serving open-weight models.
  • Experience with automated prompt and pipeline optimization, multi-GPU serving, MCP, or tool protocols.
  • Cybersecurity experience in areas such as phishing or threat detection.
  • Open-source contributions or research publications.

Culture & Benefits

  • Flexible work environment and global collaboration opportunities.
  • Competitive compensation and comprehensive benefits.
  • Flexible time off, a well-being program, two paid Wellbeing Days, and two paid Volunteer Days per year.
  • Three-week Work from Anywhere option and annual wellness and community outreach days.
  • Career development and recognition programs.

Hiring process

  • Submit an application with supporting information.
  • Accommodation is available during the application or interview process upon request.

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