aillmragmachine learningmulti agent 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
$175к-300к/год
$200к$240кмедиана$300к
По похожим ролям (49) ~ $240к/год
На СНГ рынке: $4.4к/мес ($3.7к - $5.6к)
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Крутая вакансия
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Чётко очерченная senior-позиция в AI-продуктовой компании с разработкой production-агентов и generative media; главный компромисс - обязательная работа в офисе в Нью-Йорке.
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Только офисНа переднем крае AIПонятная зона ответственностиВысокий темпСильные инвесторы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Agents (AI): Building and shipping end-to-end agentic systems that power creative workflows for short-form video with an accent on agent architecture, multimodal model integration, and production quality. Focus on designing context gathering, tool selection, and multi-step planning systems, evaluating agent behavior, and improving reliability at scale.
Location: In-person at the NYC HQ in Union Square, New York City, USA
Salary: $175K–$300K annually, plus equity.
Company
hirify.global is a creative workspace for generating, editing, and designing video, backed by AI agents, video-rendering technology, generative video models, and APIs for integrating video capabilities into other products.
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 internal research and external state-of-the-art 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 end-to-end.
Requirements
5+ years of professional industry experience.
Experience designing and developing ML systems or agentic pipelines in production.
Deep experience with context engineering, including RAG systems, token optimization, and context management at scale.
Experience building evaluation systems and agentic infrastructure for context gathering, tool selection, and multi-step planning.
Exceptional problem-solving fundamentals and the ability to learn quickly.
Ability to operate in an extremely fast-paced environment and scope and deliver projects end-to-end.
Nice to have
Experience with multi-agent architectures.
Experience fine-tuning LLMs for specific use cases.
Understanding of generative media and agentic AI technology.
Startup founder or early-engineer experience.
Grounded, collaborative approach and willingness to contribute broadly.
Culture & Benefits
Most roles require in-person work at the NYC headquarters; this is a full-time position.
Medical, dental, and vision plans, plus a 401(k) with employer match.
Commuter benefits, catered lunch multiple days per week, dinner stipend when working late, and a Grubhub subscription.
Health and wellness perks, generous PTO, multiple team offsites per year, and monthly team events.
Benefits apply to full-time employees only.
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