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C++ Developer - Remote

YO IT Consulting
Riyadh, KSA
fulltime
Mid-Senior
Today
DeveloperRemote
Free

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Job Summary

Join our customer team as an expert C++ Developer focused on advancing a cutting-edge AI agent project.

You will use your deep expertise in C++ to design, optimize, and train AI models, directly contributing to breakthrough innovations in AI systems.

This is an exceptional opportunity to work alongside top-tier engineers in a dynamic, fully remote environment.

Key Responsibilities

  • Develop and maintain advanced C++ modules for state-of-the-art AI agent systems.
  • Collaborate with AI researchers and fullstack engineers to architect and implement robust backend solutions.
  • Train, evaluate, and optimize AI models to ensure high performance and scalability.
  • Write clean, efficient, and well-documented code adhering to best software engineering practices.
  • Troubleshoot complex technical issues and deliver actionable solutions in a fast-paced setting.
  • Engage in code reviews and provide mentorship to peers, fostering knowledge sharing within the team.
  • Communicate clearly and proactively in both written and verbal forms to align with distributed team members.

Required Skills And Qualifications

  • Minimum 4 years of professional experience in C++ software development.
  • Proven track record designing, developing, and deploying scalable backend systems.
  • Exceptional written and verbal communication skills, with an ability to articulate technical concepts to varied audiences.
  • Strong understanding of software development life cycle (SDLC) and agile methodologies.
  • Experience working on AI-centric or machine learning-driven projects.
  • Ability to thrive in a remote, collaborative, and fast-evolving environment.
  • Demonstrated problem-solving skills with a detail-oriented approach to engineering challenges.

Preferred Qualifications

  • Fullstack engineering experience, especially integrating backend logic with modern front-end frameworks.
  • Prior experience in training and deploying AI models at scale.
  • Background in large-scale, cloud-based distributed systems.

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