Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи хорошо сочетают разработку AI-решений и помощь коллегам, а в растущем финтех-стартапе можно влиять на общие практики; при этом стоит учитывать динамичную культуру и гибридный формат.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (L&D) (Python/LLM): Building and debugging AI agents, tool integrations, workflows, and reusable learning frameworks for teams with an accent on LLM applications, diagnostics, evaluations, and technical mentoring. Focus on designing multi-step agent workflows, resolving issues with prompts, retrieval, tool calls, state and permissions, and enabling colleagues to maintain their own AI solutions.
Location: Hybrid work setup in Guadalajara, Mexico
Company
hirify.global is building an AI-powered financial companion for Latinos in the US, combining conversational AI with real-time financial infrastructure for cross-border money movement, remittances, credit, savings, and wallet services.
What you will do
Build and improve reference agents, tool integrations, and workflows using Python, LLM SDKs, and APIs.
Pair with colleagues on practical builds, review code, debug prompts, retrieval, tool calls, state, permissions, and failures.
Run technical office hours, triage requests, track issues to closure, and escalate complex integration, data, security, or production problems.
Create reusable starter kits, tested agents, integration patterns, troubleshooting guides, documentation, and learning resources on approved platforms including Maestro.
Develop technical content for hands-on bootcamps, teach through live builds and debugging, and mentor colleagues through guided builds and code reviews.
Test new platform capabilities, share practical guidance, and track blocker resolution, resource reuse, and sustained adoption.
Requirements
Hands-on experience building LLM applications, agents, or automations for real users, including analyzing failures and improving solutions.
Strong Python, APIs, authentication, Git, testing, and debugging skills, with practical experience using at least one LLM SDK such as OpenAI or Google.
Ability to read logs and traces, isolate failures, and create reproducible examples.
Experience with tool calling, multi-step workflows, state, structured outputs, human review, and failure handling.
Ability to build evaluations and explain quality, latency, cost, and data safeguards.
Experience mentoring builders and mixed technical and business audiences through live builds and debugging, with follow-through after training.
Ability to turn ambiguous requests into testable hypotheses, know when to escalate, and close the loop.
Nice to have
Practical SQL and CI/CD experience.
Experience with RAG and vector databases.
Maintainable starter kits or reusable components.
Experience supporting operations teams.
Culture & Benefits
Competitive salary, initial stock options grant, and annual performance bonus.
Unlimited PTO and paid parental leave.
Hybrid work setup with health, dental, and vision plans.
Continuous learning and growth opportunities in a dynamic entrepreneurial environment.
Culture centered on customer focus, urgency, extreme ownership, collaboration without ego, transparency, curiosity, and experimentation.
Hiring process
The technical teaching capability is assessed through a live pairing or debugging exercise during the interview.
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