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5 дней назад

Principal AI Engineer (LATAM Remote)

Формат работы
remote (только Mexico)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal AI Engineer (LATAM Remote) (LLM agents/GraphRAG): Building and operating production agentic systems that take consequential actions for users, with an accent on tool orchestration, retrieval engineering, and graph-based knowledge systems. Focus on designing approval and rollback controls, evaluating non-deterministic agent behavior, grounding agents in proprietary data, and leading the agentic function from architecture through production.

Location: Remote from LATAM; Guadalajara, Mexico

Company

hirify.global is a venture studio that builds and scales mobility-focused software and hardware startups with corporate investors and entrepreneurs.

What you will do

  • Own the agentic function across internal data-engineering and data-science agents, customer and partner-facing agents, and MCP servers.
  • Design, build, and deploy production LLM agents with tool interfaces, human-in-the-loop approval gates, tiered access, and rollback controls.
  • Build evaluation harnesses with offline and online evaluation, regression testing, guardrails, and observability.
  • Develop context and retrieval systems for proprietary domain data, including structured retrieval, GraphRAG, property graphs, ontologies, and semantic layers.
  • Partner with applied science and data/ML teams on pipelines, embeddings, and vector stores without owning model training.
  • Communicate architecture and roadmap to executives and investors while writing production code, hiring, and growing the team.

Requirements

  • 5+ years of experience shipping production software with strong full-stack and backend engineering skills.
  • Strong Python experience with production APIs, data models, testing, and CI; experience with TypeScript/Node or Go is beneficial.
  • Proven experience shipping stateful, multi-step LLM agents with tool calling and orchestration such as LangGraph or an equivalent.
  • Experience building production evaluation harnesses and working with determinism, drift, guardrails, and agent observability.
  • Experience owning production retrieval systems and evaluating chunking, structured retrieval, context assembly, and retrieval quality.
  • Experience leading an agentic initiative or team from architecture through production and communicating agent systems to executives and investors.

Nice to have

  • Experience with graph-backed retrieval, knowledge graphs, ontologies, property graphs, or triple stores.
  • Experience fine-tuning or distilling open-source models with LoRA/QLoRA or optimizing context and prompts.
  • Experience operating open-source models such as Llama, Qwen, or Mistral through Databricks, vLLM, or similar platforms.

Culture & Benefits

  • Remote work arrangement for a LATAM-based role.
  • Work on ventures focused on faster, cleaner, and safer movement of people and goods.
  • Opportunity to contribute across the full venture lifecycle, from ideation and MVP development to team building and scaling.

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