Remote C++ AI Backend Engineer

16 ott - L'Aquila
YO IT CONSULTING

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. Job Title: C++ Developer Job Type: Contractor Location: Remote 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 pro

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