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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

AI Engineer (LLM/AWS)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Colombia/Canada)/hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Canada/Colombia
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

AI Engineer (LLM/AWS): Designing and deploying production-grade AI systems and ML pipelines with an accent on scalable AI architecture and LLMOps. Focus on implementing agentic workflows, optimizing inference services, and bridging the gap between research prototypes and production.

Location: Bogota, Colombia (Remote Friendly)

Company

hirify.global is an elite AWS partner that designs and delivers production-ready digital and AI solutions for leading North American organizations.

What you will do

  • Implement machine learning models, inference services, and supporting APIs.
  • Develop and orchestrate AI pipelines, agentic workflows, and LLMOps processes.
  • Build data ingestion and feature engineering components aligned to defined architecture.
  • Implement monitoring and observability to track token usage, model drift, and hallucinations.
  • Collaborate with senior engineers to operationalize research prototypes into production.
  • Contribute to system design discussions and maintain high standards for reliability and performance.

Requirements

  • Must be based in Colombia (Bogota location, Remote Friendly).
  • 3–5 years of experience in AI/ML engineering or applied machine learning.
  • Proven experience building and deploying ML models in production environments.
  • Strong software engineering background in Python.
  • Working knowledge of MLOps concepts, including model versioning, monitoring, and CI/CD.
  • English: Proficiency required for collaborating with US-based clients.

Nice to have

  • Exposure to generative AI, LLM-based systems, and RAG architectures.
  • Hands-on experience with AWS cloud-native AI/ML production systems or AWS certifications.
  • Experience working in consulting or delivery-focused environments.
  • Familiarity with infrastructure-as-code or DevOps practices.

Culture & Benefits

  • Access to specialized training via Advanced AWS Partnership.
  • Early access to emerging cloud capabilities through the exclusive AWS Patterns Partnership.
  • Opportunity to grow within an elite global engineering ecosystem.
  • Mentorship and collaboration with experienced architects and senior engineers.
  • Focus on delivering measurable business impact for high-profile North American clients.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’