- Страна
- США
- Зарплата
- 210 400 $ – 302 500 $
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Staff Software Engineer - GenAI Innovations
Исключительная вакансия с очень высокой заработной платой и возможностью работать на острие технологий GenAI. Компания Abnormal Security является признанным лидером в области кибербезопасности, а роль предполагает реальное влияние на стратегию развития всей инженерной организации.
Сложность вакансии
Высокая сложность обусловлена ролью Staff-уровня, требующей не только глубоких технических знаний в Python/Go и облачной инфраструктуре, но и лидерства в области внедрения ИИ-агентов. Кандидат должен обладать уникальным сочетанием навыков системного проектирования и экспертизы в современных LLM-воркфлоу.
Анализ зарплаты
Предлагаемый диапазон ($210k - $302k) находится на верхнем уровне рыночных ожиданий для Staff-инженеров в США, особенно в секторе AI/Cybersecurity. Это значительно выше медианы для обычных продуктовых компаний, что отражает высокую планку требований и стратегическую важность роли.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Software Engineer - GenAI Innovations position at Abnormal Security. As a builder who thrives on creating tools that empower other developers, I am inspired by your vision of an AI-Native R&D organization. My background in architecting scalable backend systems and my deep integration of AI tools like Cursor and Claude into my daily workflow align perfectly with your mission to build an 'Operating System' for engineering.
In my previous roles, I have consistently focused on reducing friction in the development lifecycle by building internal platforms and automating complex workflows. I am particularly excited about the opportunity to architect 'Agent-Ready' infrastructure and sandboxed environments that allow for autonomous execution. I am confident that my technical breadth across Python, Go, and cloud infrastructure, combined with my product-oriented mindset, will allow me to make immediate contributions to the AI Accelerator team and help scale Abnormal’s agentic workflows.
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Описание вакансии
About the Role
Enterprises of all sizes trust Abnormal AI to stop cybercrime. We believe that to stay ahead of attackers, we must fundamentally rebuild our R&D organization to be AI-Native. We are moving toward a future where AI-initiated workflows—where agents write the first draft of designs, code, and remediation—are the standard.
As we scale these agentic workflows, we require a new class of infrastructure designed for autonomous execution. As an Engineer on the AI Accelerator team, you will act as both a technical owner and a force multiplier. You will architect the developer tooling and platform infrastructure that enables hundreds of engineers (and thousands of agents) to build software faster than ever.
You will be expected to build and ship critical AI DevX systems while also influencing Abnormal’s broader AI strategy. You are building the "Operating System" for our engineering team—removing the structural bottlenecks that separate human intent from shipped code for mission-critical systems.
About You
- You are a High-Slope Builder. You don't wait for a roadmap. You thrive in the terminal, instinctively crafting reusable tools as you work. You prioritize "unblocking" and velocity, but you never sacrifice quality—you use AI to ship better code, faster.
- You are a Product Engineer for Developers. You are obsessed with your "customers". You don't build technology for technology's sake; you build tools that solve genuine pain points and delight the engineers who use them daily.
- You possess Engineering Breadth. You are a true generalist when wielding AI tools. You are comfortable jumping between architecting cloud infrastructure, writing backend services in Python/Go, and "vibe coding" a frontend dashboard to visualize the data.
- You are an "AI-Native" Engineer. You don't just use AI; you have integrated it into your core workflow to operate with 10x leverage.
What You Will Do
- Architect the "Agent-Ready" infrastructure, building the sandboxed environments and headless interfaces that allow AI agents to execute safely without human hand-holding
- Embed with product teams to identify friction in the "Plan → Code → Test" loop, shipping 0-to-1 internal tools that ruthlessly automate bottlenecks
- Replace manual human validation with deterministic proof; you will build the validation frameworks that allow agents to verify their own work
- Act as a technical scout for the organization, critically evaluating emerging agentic frameworks to inform our build-vs-buy strategy
Must Haves
- Typically 4+ years of professional software engineering experience
- Deep familiarity with modern AI coding workflows (Cursor, Claude Code) and the ability to engineer around model limitations
- You are focused on solving user problems and shipping solutions that get adopted, not just building infrastructure in a vacuum
- Uncompromising focus on velocity x excellence; you instinctively write scripts to automate tasks, but ensure they are robust enough for production use
- Demonstrated ability to navigate ambiguity and ship complex features with minimal oversight
Nice to Haves
- Production-grade systems expertise spanning Backend services (Python/Go), Cloud Infrastructure, and Data Systems
- Experience with or interest in AI evangelism—sharing knowledge through documentation, workshops, or technical sessions
- Experience building internal developer platforms, CLIs, or CI/CD systems at scale
- History of contributing to open source developer tools or AI frameworks
#LI-ML1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Base salary range:
$210,400—$302,500 USD
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
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Навыки
- Python
- Go
- Cloud Infrastructure
- Generative AI
- CI/CD Systems
- LLM
- Backend Development
- Developer Experience
- CLI
Возможные вопросы на собеседовании
Проверка опыта в создании инфраструктуры для автономных систем.
Как бы вы спроектировали безопасную песочницу для выполнения кода ИИ-агентами в производственной среде?
Оценка продуктового мышления и умения работать с внутренними клиентами (разработчиками).
Расскажите о случае, когда вы выявили узкое место в процессе разработки и внедрили инструмент, который значительно ускорил команду. Как вы измеряли успех?
Проверка технической широты и понимания современных ИИ-инструментов.
Какие ограничения современных моделей (например, Claude 3.5 или GPT-4) вы считаете наиболее критичными при автоматизации написания кода, и как вы их обходите?
Оценка способности принимать архитектурные решения в условиях неопределенности.
Как вы подходите к дилемме 'build vs buy' при выборе фреймворков для оркестрации агентов в быстро меняющейся среде GenAI?
Проверка навыков обеспечения качества в автоматизированных системах.
Как построить систему детерминированной валидации для кода, сгенерированного ИИ, чтобы минимизировать участие человека в процессе тестирования?
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- Страна
- США
- Зарплата
- 210 400 $ – 302 500 $