Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$87к-144к/год
$160к$180кмедиана$220к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.1к - $5.9к)
65
Хорошая вакансия
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Здесь можно заниматься развитием AI-платформы в известной компании из сферы науки и здравоохранения, но указанная зарплата заметно ниже рыночного уровня для сопоставимых senior-позиций.
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Ниже рынкаСовременный стекРазвитие AIШирокая ответственность
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer I (Search and AI Platform) (Python/Java/Kubernetes/LLM): Building scalable, secure, and reusable generative AI services and components for research, healthcare, and life sciences with an accent on platform architecture, backend development, and production-ready deployment. Focus on designing distributed systems, operationalizing AI capabilities, and solving complex scalability, observability, testing, and CI/CD challenges.
Location: Philadelphia, PA, United States
Salary: U.S. National Base Pay Range $86,600–$144,400 per year; Maryland range $90,900–$151,700; New Jersey range $102,333–$163,467. Eligible for an annual incentive bonus.
Company
hirify.global develops content and data platforms that support researchers, clinicians, and innovators across research, healthcare, and life sciences.
What you will do
Lead architectural design, maintain technical consistency, and contribute to system designs spanning multiple services and modules.
Design, develop, and maintain scalable generative AI services and reusable components using primarily Python and Java.
Define and promote engineering practices for scalability, observability, testing, and CI/CD.
Translate AI prototypes into production-ready capabilities in collaboration with product, platform, and research teams.
Deploy scalable, containerized applications in a Kubernetes EKS environment and resolve complex distributed-systems challenges.
Mentor less-senior developers, participate in code reviews and architecture sessions, and advocate for responsible generative AI integration.
Requirements
4–6 years of software engineering experience.
Experience contributing to technical architecture for large-scale platforms or services.
Solid understanding of software development methodologies and data modeling principles.
Deep expertise in Python and Java.
Proficiency in backend development and familiarity with modern AI/LLM tools and frameworks such as LangChain and LangGraph.
Experience with Kubernetes, EKS, cloud-native architectures, scalable backend systems, and APIs.
Experience mentoring engineers and contributing to architectural decisions.
Ability to collaborate across functions in an Agile or Kanban environment.
Nice to have
Experience operationalizing LLMs or building internal AI platforms.
Familiarity with observability practices including metrics, logging, and alerts.
Exposure to knowledge graphs or semantic search systems.
Culture & Benefits
Full-time employment with country-specific benefits.
Annual incentive bonus eligibility.
Commitment to a fair and accessible hiring process, including accommodation support.
Work focused on responsible AI integration across research, healthcare, and life-science products.
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