Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи четко описаны и связаны с практическим внедрением Claude, но двухмесячный контракт ограничивает стабильность и долгосрочные перспективы.
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Короткий контрактФокус на ИИПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Claude): Designing and delivering Claude readiness sessions, technical support, assessments, and learning materials for engineering teams adopting Claude apps, Claude Code, Claude Cowork, and the Claude API with an accent on production AI systems, MCP, agent patterns, and cloud model platforms. Focus on debugging enterprise code, answering complex engineering questions, evaluating hands-on readiness, and documenting solutions for asynchronous support.
Location: Remote, Mexico City, CDMX, Mexico
Company
hirify.global designs, builds, and scales AI-powered solutions across design, development, cloud, data, and artificial intelligence.
What you will do
Design and run four technical deep-dive sessions on Claude, Claude Code, the Claude API, MCP, and agent patterns based on the client’s real work.
Answer engineers’ technical questions in the shared channel within the same or next business day and host weekly office hours.
Score hands-on readiness assessments against the rubric and feed results into participant remediation plans.
Review learning paths and assessments to align them with engineers’ day-to-day tasks.
Document answers, code snippets, and session recordings in the shared knowledge base.
Requirements
Production experience building systems with the Claude API and Claude Code, beyond demos or proofs of concept.
Working knowledge of MCP and agent patterns, including tools and subagents.
Ability to read and debug production-style code in Java or React.
Hands-on experience with Amazon Bedrock or Google Cloud Vertex AI.
Ability to explain complex technical concepts clearly to engineers at different experience levels.
Strong written and asynchronous communication skills, dependable turnaround, and ownership of response times in a live support channel.
Ability to provide direct, useful feedback on code and technical assessments.
Advanced conversational English fluency required for live technical sessions and written support with US-based teams.
A bachelor’s degree in Computer Science, Software Engineering, or a related field is desired, or equivalent professional experience.
Nice to have
Current Anthropic Claude, AWS, or Google Cloud certification.
Hands-on experience with both Amazon Bedrock and Google Cloud Vertex AI.
Prompt design and evaluation experience.
Experience loading content into an LMS, ideally a custom LMS, with SCORM or xAPI knowledge.
Experience working with synthetic or sensitive data under real security rules.
Culture & Benefits
Remote contractor engagement under a 2-month framework, with possible extension.
Work with client engineering teams through shared asynchronous support, live technical sessions, and weekly office hours.
Culture centered on empowering excellence, collaborative teamwork, respect, transparency, and efficient communication.
Opportunity to contribute to AI-native transformation and scalable products.
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