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6 дней назад

Lead AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead AI Engineer (AI/RAG/LLMOps): Leading the delivery of production AI systems, including RAG systems, agentic frameworks, and LLM-powered solutions, with an accent on team leadership, evaluation quality, and scalable infrastructure. Focus on designing experimentation frameworks, building MLOps/LLMOps pipelines, and optimizing APIs and microservices for latency, cost, and reliability.

Location: Buenos Aires, Argentina

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver client solutions.

What you will do

  • Lead end-to-end delivery of AI projects, including governance, stakeholder communication, technical reviews, and architectural assessments.
  • Build and mentor an AI engineering team, establish technical standards, and support hiring and team development.
  • Design and deliver production-ready RAG systems, agentic frameworks, and LLM-powered solutions.
  • Define and run evaluations across prompts, retrievers, chunking strategies, models, datasets, and quality metrics.
  • Build scalable inference infrastructure, CI/CD pipelines, and automated MLOps/LLMOps lifecycle processes.
  • Design APIs, microservices, and orchestration layers optimized for latency, cost, and reliability.

Requirements

  • 5+ years of hands-on AI/ML engineering experience in production environments.
  • 2+ years of direct team leadership or technical management experience.
  • Expert Python proficiency, strong Git practices, and experience with ML/LLM versioning and deployment.
  • Cloud experience with AWS, Azure, or GCP, plus containerization and orchestration knowledge.
  • Hands-on RAG experience covering chunking, embeddings, retrieval, reranking, and evaluation.
  • Advanced English required for communication with global teams and client leadership.

Nice to have

  • Databricks MLOps, LLM fine-tuning, or agentic GenAI systems experience.
  • Infrastructure as Code, security, and observability for AI services.
  • Classical ML background or open-source contributions.

Culture & Benefits

  • Flexible working options.
  • Access to AI learning paths, study plans, courses, Udemy Business, and role-specific certifications.
  • Certifications and learning opportunities in AWS, Databricks, and Snowflake.
  • Career development plans, mentorship programs, and English lessons.
  • Company-provided equipment and opportunities to attend industry conferences and meet clients.

Hiring process

  • Submit a resume or LinkedIn profile for consideration.

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