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2 дня назад

Staff AI Engineer (SaaS)

7 000 - 8 000$
Формат работы
remote (только Colombia)
Тип работы
fulltime
Английский
c1
Страна
Colombia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Staff AI Engineer (SaaS): Leading the engineering team in Colombia to build and deploy production-grade AI systems with an accent on agentic workflows, RAG pipelines, and complex document processing. Focus on mentoring engineers, driving architectural decisions, and delivering high-impact AI solutions that drive measurable business outcomes for clients.

Location: Must be based in Colombia with reliable overlap with US business hours.

Salary: $7,000 – $8,000 per month.

Company

hirify.global is an AI strategy and integration firm that builds production-ready AI systems for B2B companies in sectors like private equity, lending, and real estate.

What you will do

  • Manage and mentor the Colombia engineering team, overseeing technical growth and code quality.
  • Drive architecture decisions for agentic workflows, RAG pipelines, and production automation.
  • Stay hands-on with complex client builds, from LLM orchestration to cloud infrastructure.
  • Translate ambiguous business problems into concrete system designs and delivery plans.
  • Collaborate with clients to explain technical trade-offs and system progress.
  • Establish engineering standards through rigorous code reviews and pairing.

Requirements

  • 8+ years of software engineering experience, including 2+ years building production LLM-powered systems.
  • Expert-level Python proficiency and strong full-stack fundamentals.
  • Production cloud experience (AWS, GCP, or Azure).
  • Deep knowledge of the modern AI stack: prompt engineering, evaluation, embeddings, and vector search.
  • Fluent English with the ability to communicate complex technical concepts to non-technical stakeholders.
  • Must be based in Colombia with availability during US business hours.

Culture & Benefits

  • AI-native culture with access to frontier models via partnerships with OpenAI and Anthropic.
  • High autonomy in a bootstrapped, profitable, and fast-growing environment.
  • Focus on real-world impact and production-grade systems.
  • Small, accountable team structure with minimal bureaucracy.

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