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1 день назад

Applied AI Engineer | L&D

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina
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, reusable frameworks, and learning resources for teams with an accent on LLM applications, diagnostics, evaluations, and technical mentoring. Focus on designing multi-step workflows, resolving authentication and integration failures, creating reproducible debugging examples, and enabling colleagues to maintain their own AI solutions.

Location: Buenos Aires, Argentina; hybrid work setup.

Company

hirify.global is building an AI-powered financial companion for Latinos in the US, combining conversational AI with real-time financial infrastructure for remittances and broader immigrant financial services.

What you will do

  • Build and improve reference agents, tool integrations, and workflows using Python, LLM SDKs, and APIs.
  • Pair with colleagues to scope builds, review code, and 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, evaluations, and troubleshooting documentation on approved platforms including Maestro.
  • Lead hands-on bootcamps and learning tracks, teach live builds and debugging, and mentor colleagues through code reviews.
  • Test 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.
  • RAG and vector databases.
  • Experience building maintainable starter kits or reusable components.
  • Experience supporting operations teams.

Culture & Benefits

  • Hybrid work setup with health, dental, and vision plans.
  • Competitive salary, initial stock options grant, and annual performance bonus.
  • Unlimited PTO and paid parental leave.
  • Continuous learning opportunities and growth in a dynamic entrepreneurial environment.
  • Culture emphasizing customer focus, urgency, extreme ownership, collaboration without ego, transparency, and experimentation.

Hiring process

  • Teaching and mentoring capability is assessed through a live pairing or debugging exercise during the interview.

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