C++ Developer - Remote
Pubblicato il 22-09-2026 - YO IT CONSULTING in Roma
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 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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