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2 дня назад

Senior Python Engineer (AI)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
c1
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

Senior Python Engineer (AI): Designing and deploying production ML/AI services and scalable cloud-native backends with an accent on LLM integration and event-driven architectures. Focus on building resilient inference pipelines, architecting GCP-based microservices, and transitioning AI prototypes into production-grade services.

Location: Remote (Must be based in Mexico or any LATAM country)

Company

hirify.global is a California-based company that connects top Latin American tech talent with U.S. companies.

What you will do

  • Design, develop, and deploy end-to-end production ML/AI services and client-facing APIs.
  • Build real-time, event-driven architectures utilizing Cloud Functions, Cloud Run, Kubernetes, and Pub/Sub on GCP.
  • Integrate transformer-based models and LLMs into scalable inference pipelines, including prompt engineering and output formatting.
  • Lead technical architecture design sessions and drive projects from concept to production.
  • Champion engineering best practices, including CI/CD, observability, testing, and infrastructure-as-code.
  • Collaborate with product owners and data scientists to align priorities and deliver iterative features.

Requirements

  • 4–6+ years of professional backend or full-stack software engineering experience with a strong Python focus.
  • Proven track record of designing and deploying cloud-native applications (GCP strongly preferred).
  • Experience building resilient event-driven microservices and RESTful/gRPC APIs.
  • Proficiency with Docker, Kubernetes, and serverless paradigms, as well as SOLID design principles.
  • Advanced English communication skills.
  • Must be based in Mexico or any LATAM country.

Nice to have

  • Experience deploying and serving ML models or LLMs in production.
  • Familiarity with Prompt Engineering, Retrieval-Augmented Generation (RAG), vector search, or fine-tuning.
  • Exposure to AI orchestration frameworks such as LangChain or Google ADK.
  • Experience with infrastructure-as-code tools like Terraform or Pulumi.

Culture & Benefits

  • Opportunity to work remotely for a U.S.-based company.
  • Work within a cross-functional, agile team environment.
  • Direct impact on the development of intelligent products used by real customers.
  • Encouraged use of AI tools to accelerate development throughput.

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