Назад
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8 часов назад

Senior Applied AI Engineer (AI)

152 900 - 224 235$
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 (AI/LLM systems): Building applied AI research systems, agent evaluation platforms, prototypes, and production integrations with an accent on long-running agents, hosted and self-hosted models, and measurable quality, cost, and speed tradeoffs. Focus on designing evidence-based experiments, improving agent reliability, optimizing model serving, and deploying systems with effective monitoring.

Location: North Carolina, United States

Base pay for other U.S. cities and states: $152,900–$224,235 per year. The role may also include variable compensation and/or equity.

Company

hirify.global provides cybersecurity solutions that protect people, data, and AI agents across email, cloud, and collaboration tools.

What you will do

  • Lead applied AI research from problem framing and experiment design through evidence-based decisions.
  • Build agentic systems that improve through evaluation loops and recover from failures.
  • Extend evaluation platforms with task suites, regression checks, and quality, cost, and speed measurements.
  • Work with third-party model APIs, open-weight models, GPU infrastructure, fine-tuning, and efficient serving.
  • Build prototypes, playgrounds, and APIs, then advise deployment teams on AI integration and production monitoring.
  • Mentor engineers and help stakeholders turn real operational problems into valuable research questions.

Requirements

  • 5+ years of experience building software and ML systems, including recent hands-on LLM systems beyond the prototype stage.
  • Experience building production-oriented agents and handling failures in long-running agent workflows.
  • Experience with third-party model APIs, open-weight models, and GPU-based infrastructure.
  • Experience with Kubernetes inference platforms, Flyte, LiteLLM, Langfuse, and evaluation and tracing tools.
  • Strong Python skills and solid machine learning fundamentals.
  • Daily experience with Claude Code, Cursor, or similar coding agents while maintaining correctness and test quality.

Nice to have

  • Fine-tuning or serving open-weight models.
  • Automated prompt and pipeline optimization.
  • Multi-GPU serving, MCP, and tool protocols.
  • Cybersecurity experience, including phishing or threat detection.
  • Open-source contributions or research publications.

Culture & Benefits

  • Flexible work environment and global collaboration opportunities.
  • Comprehensive benefits and competitive compensation.
  • Flexible time off, a well-being program, two paid Wellbeing Days, and two paid Volunteer Days annually.
  • Three-week Work from Anywhere option.
  • Annual wellness and community outreach days, recognition programs, and career development support.

Hiring process

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

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