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8 дней назад

Staff AI Engineer (AI Labs)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Argentina/Spain/Brazil +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff AI Engineer (AI Labs) (LLMs, LangChain, AWS): Evaluating emerging AI models, tools, and frameworks through instrumented experiments, benchmarking, and reusable evaluation harnesses with an accent on quality, latency, cost, security, and integration complexity. Focus on designing realistic test environments, producing adoption playbooks and decision memos, and coordinating the hand-off of validated technologies to platform and domain teams.

Location: Hybrid work in Madrid, Barcelona, Buenos Aires, São Paulo, or Montevideo

Company

hirify.global is a global payments processor and merchant of record that helps companies collect payments in emerging markets across 40 countries.

What you will do

  • Scout and compare vendor and open-source AI models, tools, and frameworks across quality, cost, latency, security, and integration complexity.
  • Build evaluation harnesses, sandboxes, datasets, prompts, scenarios, telemetry, and regression tracking for realistic AI technology testing.
  • Prepare decision memos and readiness playbooks with recommendations, guardrails, integration guidance, risks, and limitations.
  • Coordinate with platformization, domain, engineering, IT, legal, security, and compliance teams to move validated technologies into pilots or production capabilities.
  • Maintain reusable governance standards, checklists, and decision templates for AI technology adoption.
  • Mentor engineers, participate in technical hiring, and share evaluation methods through internal write-ups, talks, and selected external events.

Requirements

  • 8+ years of software engineering experience and 3+ years of hands-on work with LLMs and AI tooling.
  • Strong experience with distributed systems and synchronous and asynchronous event-driven architectures.
  • Proficiency with LangChain, LangGraph, or similar orchestration frameworks, including custom tools and multi-step workflows.
  • Solid AWS infrastructure knowledge and experience running secure, cost-aware evaluation workloads.
  • Experience designing AI benchmarks and making clear trade-off decisions involving quality, latency, cost, security, and vendor lock-in.
  • Ability to structure ambiguous ideas into evaluation plans, communicate technical results clearly, and influence teams without direct authority.

Culture & Benefits

  • Flexible schedules driven by performance and impact rather than fixed hours.
  • Access to frontier models and infrastructure for advanced experiments.
  • Premium Coursera subscription and internal AI learning programs.
  • Free English, Spanish, or Portuguese language classes.
  • Monthly social budget for connecting with colleagues in person or remotely.
  • hirify.global Houses provide a week of coworking anywhere in the world with the team, with costs covered.

Hiring process

  • The Talent Acquisition team reviews applications and provides updates by email throughout the process.
  • AI tools may support parts of the hiring process, while final decisions are made by people.

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