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3 дня назад

Applied AI Engineer (AI)

280 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied AI Engineer (AI): Focused on enabling mission-driven organizations to integrate Claude (LLM) into their work for positive societal impact, with an accent on technical advising, solution architecture, and prototype development. Focus on designing scalable architectures, developing evaluation frameworks, and fostering community engagement in sectors like education, healthcare, and scientific research.

Location: Hybrid, with staff expected in San Francisco, CA or New York City, NY offices at least 25% of the time. Visa sponsorship is available.

Salary: $280,000 – $300,000 USD

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems for societal benefit.

What you will do

  • Partner with account executives to understand requirements and architect technical solutions for mission-driven organizations.
  • Serve as the primary technical advisor to beneficial deployment partners throughout their Claude adoption journey.
  • Design and develop proof-of-concept applications and prototypes demonstrating Claude integration patterns for education, healthcare, research, and nonprofit use cases.
  • Create and deliver technical content and demos for impact-focused audiences through scaled events.
  • Guide technical architecture decisions and help partners build state-of-the-art LLM systems.
  • Help organizations develop lightweight evaluation frameworks and testing suites for impact-driven use cases.

Requirements

  • 2+ years of experience in technical customer-facing roles (e.g., Customer Engineer, Sales Engineer).
  • Experience working with educational institutions, healthcare organizations, research groups, or nonprofits.
  • Strong programming skills with proficiency in Python and experience building production applications.
  • Expertise with common LLM implementation patterns, prompt engineering, evaluation frameworks, and agent/retrieval frameworks.
  • Proven ability to develop technical prototypes and demos for social impact use cases.
  • Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders.

Culture & Benefits

  • Work as a single cohesive team on large-scale research efforts with a focus on impact.
  • Value impact in advancing long-term goals of steerable, trustworthy AI.
  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave.
  • Flexible working hours and a lovely office space for collaboration.
  • Encourage applications even if not every single qualification is met, promoting diverse perspectives.

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