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1 день назад

AI Engineer II (Marketing)

3 333 - 6 000$
Формат работы
remote (только Brazil/Argentina/Mexico)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Argentina/Mexico/Colombia +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineer II (Marketing): Building and owning AI-powered internal platforms and systems for marketing with an accent on intelligent automation, orchestration, and full-stack integration. Focus on translating ambiguous business problems into scalable AI-enabled technical solutions and embedding AI capabilities into customer-facing products.

Location: Must be based in Latin America

Salary: $3,333 - $6,000 per month (Gross in USD)

Company

hirify.global is a fintech company revolutionizing the shopping experience through interest-free installment plans and AI-driven discovery for consumers and merchants.

What you will do

  • Lead the design and development of AI-powered internal platforms and systems focusing on Marketing.
  • Own end-to-end delivery of complex projects from problem discovery and system design through production rollout.
  • Implement AI-driven features, intelligent automation, and orchestration systems to enhance customer experiences.
  • Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces using React.
  • Collaborate with cross-functional teams to identify high-impact AI opportunities and drive adoption.
  • Mentor AI team members through code reviews and hands-on design guidance.

Requirements

  • 3–5 years of professional experience in software, AI, or platform engineering.
  • Hands-on experience designing, building, and shipping AI-powered systems into production.
  • Strong proficiency in Python, SQL, and frontend frameworks (React).
  • Experience with distributed systems and complex data workflows.
  • Location: Must be based in Latin America

Nice to have

  • Experience with transformer architectures (BERT, GPT) and fine-tuning strategies.
  • Understanding of RAG, prompt engineering, and LLM application patterns.
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector) and embeddings.
  • Experience with AWS, Docker, Kubernetes, and GitLab CI/CD.
  • Exposure to Golang or CRM platforms like Braze.

Culture & Benefits

  • High-standards environment where continuous improvement is expected.
  • Fast-paced culture that values speed, action, and calculated risk-taking.
  • Collaborative atmosphere based on trust, candid communication, and mutual respect.
  • Fully remote work arrangement.

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