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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Наставничество, практическая работа с AI-автоматизацией и указанная почасовая оплата делают стажировку привлекательной; строгие требования к разрешению на работу в США и широкий технический охват ограничивают круг тех, кому она доступна.
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Жёсткие визовые условияШирокий охват задачПрактика с GenAIНаставничествоОплачиваемая стажировка
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Текст:
Hirify AI/Оригинал
TL;DR
Client Tech Summer Intern (AI): Designing and implementing AI-powered automation for bespoke technology deployments in life sciences with an accent on delivery workflows, testing, configuration, and client-specific technical requirements. Focus on identifying manual work, building automation assets, measuring efficiency gains, and collaborating across full stack engineering, data engineering, QA, and DevOps.
Location: Hybrid in Waltham, MA or New York, NY, with office attendance 2–3 days per week. The 9-week program runs from June 14 to August 13, 2027.
Salary: $35/hour for 40 hours per week.
Company
hirify.global combines life sciences expertise, human intelligence, and an AI-enabled technology platform to support pharmaceutical, biotech, and medtech commercialization.
What you will do
Partner with Client Tech leads to configure and deploy technology products for individual client requirements.
Identify manual work across environment setup, configuration, testing, and release processes.
Design, prototype, and help implement automation using AI tools and capabilities.
Support full stack engineering, data engineering, DevOps, testing, and quality assurance workstreams.
Track automation efficiency gains and document best practices for the Client Tech team.
Requirements
Must be legally authorized to work in the United States without employer sponsorship.
Visa sponsorship is not available, including for TN, H-1B, F-1, or STEM OPT status.
Currently enrolled in a related graduate technical program with one year remaining, such as computer science, data engineering, or information systems.
Understanding of full stack engineering, data engineering, testing, and DevOps concepts.
Ability to collaborate clearly with solution owners, engineers, and technical stakeholders in a fast-paced environment.
Nice to have
One to three years of experience in software engineering, data engineering, technology consulting, DevOps, QA/testing, or another technical role.
Interest in GenAI and applying AI to automate technical work.
Culture & Benefits
Pairing with a senior team member to build automation assets.
Hands-on experience and mentorship in a real-world technical consulting environment.
Collaboration across solution ownership, engineering, data, testing, and DevOps disciplines.
Opportunity to develop skills in GenAI, automation, and client technology delivery.
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