Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$199к-269к/год
$220к$240кмедиана$260к
По похожим ролям (46) ~ $240к/год
На СНГ рынке: $5.3к/мес ($3.8к - $6.5к)
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В роли есть техническое лидерство в развивающемся направлении ИИ, современный стек и акции, но указанная зарплата ниже медианы рынка, а привязка к восточному часовому поясу США ограничивает выбор локации.
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Ниже рынкаСовременный стекФокус на ИИПонятная рольТолько США
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (AI Agentic Systems) (Go/React/TypeScript): Leading a team building and evolving agentic development systems across agent execution, integrations, and developer workflows with an accent on LLM systems, provider-agnostic architecture, and distributed systems. Focus on improving reliability, performance, operability, context management, tool use, streaming, and long-running workflows while guiding technical direction and growing engineers.
Location: Remote, United States; required to be in the US Eastern Time Zone
Compensation: Tier 1 $199K–$269K; Tier 2 $181K–$244K; Tier 3 $171K–$231K, plus equity and bonus. Compensation depends on level, role, and location.
Company
hirify.global provides self-hosted, agent-ready development workspaces that help enterprises run secure, governed human and AI-driven development workflows.
What you will do
Lead and grow a team within the Agentic Engineering organization.
Set technical direction across the agent harness, integrations, and developer workflows.
Contribute to architecture and implementation decisions while staying close to the code.
Extend provider-agnostic architecture as models and capabilities change.
Partner with Product and Design to improve developer experiences, reliability, performance, and operability.
Requirements
Experience managing and growing software engineering teams.
Strong hands-on engineering experience with Go, plus experience with React and TypeScript.
Hands-on experience building systems around LLMs and agentic workflows.
Experience with model APIs, tool calling, context management, or agent loops.
Strong distributed systems knowledge and working knowledge of AWS.
Strong technical judgment and comfort working through ambiguity.
A track record of helping engineers grow while maintaining a high execution bar.
Nice to have
Experience building coding agents, developer tools, or cloud development environments.
Experience with MCP, agent tools, or multi-agent systems.
Experience with remote execution, sandboxing, or isolated compute.
Experience building abstractions across multiple model providers.
Deep experience with AWS, Kubernetes, Docker, or Linux.
Open-source contributions or experience working directly with customers.
Culture & Benefits
Remote work in the United States with compensation determined by role, level, and location.
Equity and bonus are offered.
hirify.global supports transparent, consistent, and candidate-friendly interviews.
AI tools may be used for take-home assessments when usage is disclosed; AI assistance is not permitted during conversational interviews.
Hiring process
The interview process is expected to take two to four weeks when schedules allow.
Interviews include individual contributors, managers, and senior leaders.
AI assistance is not permitted during conversational interviews; it is permitted for take-home assessments with disclosure.
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