Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$191к-293к/год
$200к$220кмедиана$260к
По похожим ролям (49) ~ $220к/год
На СНГ рынке: $4.3к/мес ($3.6к - $5.9к)
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Чётко описанная senior-роль сочетает распределённые системы и практическую работу с AI-безопасностью в зрелой продуктовой компании, но для гибридного формата нужно быть рядом с одним из четырёх офисов в США.
?Привязка к офису
Современные технологии
Перспективное направление
Зрелая продуктовая компания
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, AI Security (AI/LLM/MCP): Building high-scale distributed systems and AI security services that provide enterprise visibility into and control over agentic AI and its endpoints, with an accent on backend engineering, LLM integrations, tool-calling, MCP, and RAG pipelines. Focus on designing reliable and secure systems at scale, integrating AI agent technologies, resolving complex performance issues, and mentoring engineers.
Location: Hybrid in Addison, TX; Bellevue, WA; Durham, NC; or Emeryville, CA, United States
Annual base salary: $191,000–$293,000, plus equity and benefits.
Company
hirify.global develops an Autonomous IT platform for enterprise endpoint management, security, real-time intelligence, agentic decision-making, and autonomous remediation.
What you will do
Design and develop high-scale, distributed backend systems that provide visibility into and control over agentic AI across enterprise environments.
Build services and integrations using LLM APIs, tool-calling frameworks, MCP, RAG, and supporting data pipelines.
Develop scalable software across the full lifecycle while balancing performance, reliability, security, and complex product requirements.
Collaborate with product management, UX, engineering, security, and infrastructure teams to define, estimate, deliver, and deploy solutions.
Lead code reviews, troubleshoot production defects and performance bottlenecks, and improve engineering tooling and practices.
Mentor junior and mid-level engineers through knowledge sharing, pairing, and technical guidance.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
8+ years of professional software engineering experience building and shipping production-quality software.
Experience designing distributed systems or large-scale, highly available applications and backend services or enterprise web applications serving large user bases, including millions of users.
Experience building and shipping AI-powered products or agents at scale, including LLM integrations and tool-calling.
Hands-on experience building a production MCP server or integration, plus experience building RAG systems and their supporting data pipelines.
Experience with requirements analysis, design, implementation, testing, deployment, version control, Git, and collaborative development workflows.
Proficiency in one or more modern programming languages such as Go, C++, Java, Python, or similar.
Strong understanding of software design patterns, data structures, and algorithms; ability to prompt AI coding tools and review, refactor, and debug generated code.
Initiative, strong oral and written communication, teamwork, ethics, integrity, and ability to work in a fast-paced changing environment.
Nice to have
Experience in cybersecurity, SaaS, or enterprise software.
Foundation in secure design, authentication and authorization, and threat modeling.
Familiarity with AWS, Azure, or Google Cloud.
Familiarity with Docker, Kubernetes, CI/CD pipelines, and automated testing frameworks.
Culture & Benefits
Collaborative, respectful, diverse, and inclusive work environment.
Medical, dental, vision, family planning, HSA, FSA, transportation savings, life, disability, and employee assistance benefits.
401(k) retirement savings plan with company match and equity awards.
Five days of volunteer time off annually, plus business travel accident insurance and other well-being benefits.
Access to internal systems, administrative credentials, and cloud infrastructure requires strict compliance with hirify.global security, access control, and data handling policies.
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