Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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$169к-212к/год
$180к$210кмедиана$230к
По похожим ролям (49) ~ $210к/год
На СНГ рынке: $4.2к/мес ($3.1к - $5к)
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Роль дает заметное влияние на AI-платформу и четко описанную зону ответственности, но зарплата ниже медианы рынка, что снижает привлекательность предложения.
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Ниже рынкаЗона влиянияСовременный AI-стекГибкий формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff AI Engineer (AI/LLM): Designing and scaling enterprise AI platforms and distributed systems with an accent on agentic AI, LLM platforms, RAG pipelines, vector search, and AI orchestration. Focus on building production-grade AI services, defining reliability and governance guardrails, optimizing performance, and leading architecture across multiple engineering teams.
Location: Remote within the United States; listed locations are San Jose, CA, San Diego, CA, and Seattle, WA.
Salary: $169,400.00–$254,100.00 annually.
Company
hirify.global develops the Autonomous Knowledge Platform, connecting data, knowledge, and business context for enterprise intelligence across on-premises, cloud, and hybrid environments.
What you will do
Design and evolve large-scale distributed AI systems powering enterprise AI platforms and AI-native products.
Own architecture for agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks.
Build scalable, secure, reusable platform services and APIs using LLMs, embeddings, vector databases, and agent-based architectures.
Define guardrails for reliability, safety, governance, and cost control in enterprise AI systems.
Partner with product management, architecture, research, and cloud platform teams on scalable AI solutions and roadmap decisions.
Drive testing, observability, evaluation, performance optimization, production readiness, engineering standards, and mentorship across teams.
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
8+ years of experience building backend services, distributed systems, or data/AI platforms.
Strong proficiency in Java, Go, or Python, with experience building large-scale services.
Deep understanding of distributed system design, scalability, fault tolerance, and cloud-native architectures.
Proven experience designing and operating production systems with SQL and NoSQL data stores.
Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.
Exposure to agentic AI patterns including tool calling, planning, memory, and multi-step reasoning.
Experience building or operating AI systems in AWS, Azure, or GCP environments.
Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.
Culture & Benefits
Flexible work model supporting decisions about when, where, and how to work.
People-first, inclusive culture focused on employee well-being.
Benefits generally include healthcare, life and disability insurance, retirement savings including a 401(k), and time off.
Eligibility for an annual incentive plan based on company financial performance and individual performance.
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