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5 дней назад

Senior AI Software Engineer

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Software Engineer (Python/AI): Building and deploying AI-powered applications for logistics and supply chain operations with an accent on machine learning integration, scalable backend systems, and cloud-native delivery. Focus on integrating LLMs and AI services, designing production architectures, and optimizing reliability, performance, and maintainability.

Location: European Union; hybrid workplace with 100% remote work offered.

Company

AI transformation and technology consulting partner delivering secure, cloud-native platforms and software solutions for organizations across multiple industries.

What you will do

  • Design, develop, and deploy AI-powered applications using Python.
  • Integrate machine learning models, AI APIs, intelligent algorithms, and enterprise services into scalable backend systems.
  • Collaborate with data scientists, product managers, and software engineers to deliver AI-driven features.
  • Contribute to architecture, system design, and technical decisions for AI-enabled products.
  • Build CI/CD pipelines and containerized environments with Docker, and deploy applications to AWS, Azure, or GCP.
  • Optimize solutions for scalability, performance, reliability, and maintainability while evaluating emerging AI technologies.

Requirements

  • 5+ years of professional software development experience focused on integrating AI/ML solutions into production applications.
  • Strong programming skills in Python or Java.
  • Hands-on experience with TensorFlow, PyTorch, scikit-learn, or Hugging Face Transformers.
  • Understanding of machine learning, data engineering, ETL, model deployment, SQL, and large-scale datasets.
  • Experience with Docker, CI/CD, cloud platforms, RESTful APIs, and AI service integration.
  • Experience with LLMs, vector databases, prompt engineering, or AI agents, plus strong analytical, communication, and collaboration skills.

Nice to have

  • Experience with React, Angular, or Vue.js.
  • Knowledge of MLOps tools and practices.
  • Familiarity with Kubernetes, infrastructure as code, or microservices architectures.

Culture & Benefits

  • Remote-work allowance and financial support for working from home.
  • Career development program with 360-degree feedback.
  • Allocated time and budget options for technical training, English classes, books, conferences, and events.
  • Mentoring program and access to wellbeing services, including mental health, nutrition, physiotherapy, and fitness support.
  • Multicultural environment with technical events, webinars, and online team activities.

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