aillmragmachine learningmulti agent systemsevaluation systemsagentic systemscontext engineeringgenerative media
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$175к-300к/год
$200к$240кмедиана$290к
По похожим ролям (49) ~ $240к/год
На СНГ рынке: $4.2к/мес ($3.1к - $5.1к)
78
Хорошая вакансия
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Здесь можно работать с продакшен-системами agentic AI в хорошо финансируемой продуктовой компании, но зарплата ниже медианы рынка, а обязательная работа в офисе в Нью-Йорке ограничивает гибкость.
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Ниже рынкаВысокий темпПередовой ИИ-стекПродукт в сфере ИИМасштаб задач
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer (Agentic AI): Building and shipping agentic systems that power creative workflows for short-form video with an accent on agent architecture, multimodal model integration, and production reliability. Focus on context engineering, tool selection, multi-step planning, evaluation systems, and improving agent quality through experimentation and real-world feedback.
Location: In-person at the NYC HQ in Union Square, New York City, USA.
Salary: $175K–$300K annual compensation, plus equity.
Company
hirify.global is an AI video company building generative media products, multimodal agents, rendering engines, generative video models, and video-editing APIs.
What you will do
Build and ship end-to-end agentic systems that improve creative workflows for short-form video.
Design agent architectures for context gathering, planning, tool selection, and reliable execution at scale.
Integrate state-of-the-art internal and external models into new agent experiences.
Measure and improve agent quality in production through experimentation, evaluation frameworks, and real-world feedback.
Work across product, machine-learning, and systems engineering while owning problems from definition through deployment.
Requirements
5+ years of professional industry experience.
A production track record designing and developing ML systems or agentic pipelines.
Deep experience with context engineering, including RAG systems, token optimization, and context management at scale.
Experience building evaluation systems and agentic infrastructure covering context gathering, tool selection, and multi-step planning.
Exceptional problem-solving fundamentals and the ability to learn quickly in a rapidly evolving environment.
Ability to operate in an extremely fast-paced environment and scope and deliver projects end-to-end.
Experience operating at senior or staff+ scope.
Nice to have
Experience with multi-agent architectures.
Experience fine-tuning LLMs for specific use cases.
Awareness of developments in generative media and agentic AI technology.
Collaborative, grounded approach and willingness to contribute broadly to team outcomes.
Experience as a startup founder or early engineer.
Culture & Benefits
Medical, dental, and vision plans for full-time employees.
401(k) with employer match.
Commuter benefits, catered lunches multiple days per week, dinner stipend, and Grubhub subscription.
Health and wellness benefits.
Multiple team offsites each year and monthly team events.
Generous paid time off policy.
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