Назад
Company hidden
5 дней назад

Senior AI Engineer (GenAI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
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 (GenAI) (Generative AI/LLMs): Building production-ready AI applications with an accent on Retrieval-Augmented Generation, AI agents, scalable APIs, and enterprise integration. Focus on evaluating and benchmarking models, developing multi-agent workflows, and deploying monitored AI solutions across cloud environments.

Location: Madrid, Spain

Company

hirify.global runs and reimagines mission-critical technology systems and helps leading businesses adopt AI-powered solutions.

What you will do

  • Design and develop AI-powered applications using Large Language Models and Generative AI.
  • Build Retrieval-Augmented Generation solutions, AI agents, and multi-agent workflows.
  • Develop scalable services and APIs supporting enterprise AI use cases.
  • Take AI projects from prototyping through production deployment and monitoring.
  • Evaluate models and frameworks, contribute to proofs of concept, and benchmark performance, cost, and scalability.
  • Integrate AI solutions with enterprise applications, databases, business processes, and cloud environments.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Telecommunications, or a related field.
  • 4+ years of experience in software engineering, data science, machine learning, or artificial intelligence.
  • Hands-on Python development experience.
  • Experience with Large Language Models, Generative AI, and RAG-based applications.
  • Strong analytical and problem-solving skills.
  • Professional English and Spanish required.

Nice to have

  • Experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel.
  • Experience with vector databases and embeddings.
  • Knowledge of MLOps or LLMOps practices.
  • Experience deploying AI solutions in production environments.

Culture & Benefits

  • Flexible, supportive, and hybrid-friendly culture focused on employee well-being.
  • Financial, mental, physical, and social health programs.
  • Personalized career development goals, continuous feedback, coaching, and hands-on learning.
  • Access to certifications and learning opportunities from Microsoft, Google, and Amazon.
  • Inclusive culture centered on belonging, empathy, continuous learning, and shared success.

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 →