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9 дней назад

Applied AI Engineer (L&D)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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