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AI Software Engineer

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Summary

Fully remote AI Software Engineer role (posted via recruiter Placements24 for a client) building and deploying AI/ML-powered features: scalable systems for training, deploying, and monitoring models, and turning prototypes into production code. Stack includes Python/Java/C++, TensorFlow/PyTorch, cloud platforms, and Docker/Kubernetes.

About the Role

Our client is looking for a talented and motivated AI Software Engineer to join their innovative, fully remote team. This role is instrumental in developing and implementing sophisticated AI-driven features and systems that power our client's next-generation products. You will collaborate with a diverse team of engineers, data scientists, and researchers to bring cutting-edge AI capabilities to life. This position offers the unique advantage of working on challenging technical problems from the comfort of your own home, contributing to a company culture that values innovation, collaboration, and continuous improvement in the rapidly evolving field of artificial intelligence.

Key Responsibilities

  • Design, develop, test, and deploy software components that integrate AI and machine learning models.
  • Build scalable and efficient systems for training, deploying, and monitoring AI models.
  • Collaborate with data scientists to translate model prototypes into robust, production-ready code.
  • Optimize software performance and data pipelines for AI applications.
  • Write clean, maintainable, and well-documented code following best practices.
  • Participate in code reviews and contribute to architectural discussions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 2+ years of professional software development experience, with a focus on AI/ML systems.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and libraries.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Strong understanding of software development principles and experience working in agile environments.

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision coverage.
  • Generous paid time off and flexible holidays.
  • Professional development budget and access to online learning resources.
  • Fully remote work arrangement with support for home office setup.
  • Opportunity to work on impactful AI projects with leading technology.

Skills

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See also

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