Назад
3 дня назад

Manager, AI Engineering (AI)

163 000 - 306 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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
Manager, AI Engineering (AI): Building agentic capabilities for monitoring, guardrailing, evaluation, security, quality, and human-agent collaboration with an accent on production AI agents, AI security, and scalable software engineering. Focus on leading a technical team, translating research into reliable product features, and solving complex problems in red teaming, model improvement, and agent deployment.

Location: Remote within the United States

Salary: US Tier 1 $204K–$306K; US Tier 2 $184K–$275K; US Tier 3 $163K–$245K

Company

SandboxAQ is a growth-stage company delivering AI solutions powered by Large Quantitative Models for life sciences, financial services, navigation, cybersecurity, and other sectors.

What you will do

  • Lead and grow a small, highly technical team while remaining hands-on in engineering and research.
  • Set technical direction, break down ambiguous problems, establish execution plans, and build a culture of ownership, collaboration, experimentation, and high standards.
  • Create agentic capabilities and frameworks for monitoring, guardrailing, and evaluating agents.
  • Perform exploratory data analysis, feature engineering, model fine-tuning, and rapid prototyping based on product feedback and evolving needs.
  • Work with Product and Research to translate AI research into practical features and software engineering projects.
  • Deliver production-ready code and technical designs for scalable, reliable software.

Requirements

  • BSc in Computer Science or a related field with exposure to AI/ML.
  • Deep expertise in AI/ML, software engineering, or AI security.
  • Strong Python programming skills and experience with relevant ML and/or agentic frameworks.
  • Demonstrated cross-functional, collaborative work with a high degree of end-to-end ownership and delivery of real-world outcomes.
  • Ability to learn additional programming languages and technologies as needed to ship scalable and reliable software.

Nice to have

  • PhD in Computer Science or a related field focused on AI/ML or a similar area.
  • Hands-on experience with agent orchestration, agent harnesses, agent teams, jailbreaking or prompt injection, red teaming, data poisoning or evasion attacks, secure model deployment or sandboxing, or detection and monitoring for AI misuse.
  • Experience contributing to open-source projects.
  • Experience in a fast-paced startup environment.
  • Experience in cybersecurity.

Culture & Benefits

  • Fully remote work with flexible paid time off, company-wide seasonal breaks, and flexible work arrangements.
  • Medical, dental, and vision coverage for employees and dependents with employer premium contributions.
  • Retirement savings with company matching, paid parental leave, and family-building benefits.
  • Competitive base salary, performance-based incentives or bonuses where applicable, and equity participation.
  • Continuous learning through on-the-job development, cross-functional collaboration, and internal learning programs.
  • Multidisciplinary and inclusive environment with an emphasis on creativity, collaboration, ownership, and impact.

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