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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, 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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