Назад
Company hidden
5 часов назад

Senior AI Engineer (Generative AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior AI Engineer (Generative AI): Designing and deploying intelligent solutions using Machine Learning and Generative AI with an accent on LLM-based applications and LangChain integration. Focus on building scalable AI-powered services, optimizing model performance for production, and implementing robust data pipelines.

Location: Hybrid in Lisbon, Portugal

Company

Tech transformation specialists uniting human expertise with AI to create scalable tech solutions for a global client base.

What you will do

  • Design, develop, and deploy AI-driven applications focusing on Machine Learning and Generative AI use cases.
  • Build and integrate LLM-based solutions using LangChain, ensuring reliability and performance.
  • Collaborate with product, design, and data teams to translate business requirements into technical AI solutions.
  • Implement data pipelines, model training workflows, and inference services across different environments.
  • Optimize models and systems for performance, cost, and scalability in production.
  • Establish best practices for model evaluation, monitoring, versioning, and responsible AI usage.

Requirements

  • Strong professional experience as an AI Engineer or Machine Learning Engineer.
  • Solid knowledge of ML concepts, algorithms, and the entire model lifecycle.
  • Hands-on experience with Generative AI (GenAI), LLMs, and prompt engineering.
  • Proficiency in Python and common AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Experience deploying AI solutions in cloud environments (AWS, Azure, or GCP).
  • Advanced English proficiency (spoken and written) for effective communication with stakeholders.

Nice to have

  • Experience with MLOps practices, including model monitoring and automation.
  • Familiarity with vector databases, embeddings, and RAG patterns.
  • Knowledge of data engineering concepts and tools.
  • Experience in agile environments and client-facing consultancy projects.
  • Exposure to AI ethics, privacy, and security best practices.

Culture & Benefits

  • Competitive salary and annual profit-sharing distribution.
  • 100% paid health and dental benefits starting from day one.
  • Generous paid vacation days and sick time.
  • Paid parental leave.
  • Dedicated career advisor to support professional growth.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →