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10 часов назад

Lead AI Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Portugal
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): Designing and integrating LLM-powered features and robust data pipelines with an accent on RAG architectures, model performance optimization, and production-grade deployment. Focus on building advanced AI capabilities for classification, extraction, and orchestration in constrained environments.

Location: Hybrid (Lisbon, Portugal)

Company

hirify.global is a Swiss consulting firm dedicated to assisting companies with strategic, technological, and organizational challenges.

What you will do

  • Drive the design, integration, and operational excellence of LLM-powered features across platforms.
  • Build advanced capabilities including classification, extraction, summarization, and action orchestration.
  • Develop embedding and retrieval pipelines (RAG) and robust data pipelines for model training.
  • Optimize inference runtimes for various hardware environments using tools like ONNX Runtime and TensorFlow Lite.
  • Collaborate with engineering, data, and MLOps teams to integrate models into production systems.
  • Experiment with new prompts and architectures to enhance model effectiveness and efficiency.

Requirements

  • Substantial experience with LLMs and NLP systems.
  • Strong proficiency in Python and machine learning frameworks.
  • Hands-on experience with embeddings, vector databases, and RAG architectures.
  • Proven ability to build and maintain production-grade data pipelines.
  • Deep understanding of evaluation metrics, quality gates, and model calibration.
  • Experience deploying models on edge or embedded devices in constrained environments.

Nice to have

  • Experience with MLOps and production model monitoring.

Culture & Benefits

  • Focus on professional development, skill enhancement, and career advancement opportunities.
  • Supportive environment where employee growth and well-being are prioritized.
  • Commitment to long-term partnerships built on trust and transparency.
  • Emphasis on innovation and creative thinking in digital transformation.
  • Strong sense of corporate social responsibility and community impact.

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