الملخص
تبحث XD.AI عن مهندس برمجيات رئيسي للعمل من مقر الشركة في أبوظبي، وتولي تصميم حلول متكاملة قابلة للتوسع وتنفيذها. يشمل الدور قيادة توظيف الذكاء الاصطناعي التوليدي ونماذج اللغة الكبيرة في المنتجات، ومراجعة الجوانب التقنية، وإرشاد فرق الهندسة. يُشترط توفر خبرة واسعة في تطوير الأنظمة المتكاملة وإتقان Python وReact، إلى جانب سجل في بناء حلول تقنية معقدة. وتُعد الخبرة في المنصات السحابية وأطر تعلم الآلة والحاويات وضبط نماذج اللغة ميزة إضافية.
نص الإعلان
كما نُشر على xdigit.ai. نقلناه من موقع صاحب العمل ونعرضه بنصّه الأصلي.
Role Overview
As a Principal Engineer, you will play a pivotal role in architecting, designing, and implementing cutting-edge technology solutions that leverage Generative AI and full-stack expertise. As part of our team in Abu Dhabi, you'll work in an ONSITE environment where your leadership and technical proficiency will shape major product initiatives and mentor high-performing engineering teams.
Responsibilities
- Design and architect scalable full-stack solutions, integrating both frontend and backend technologies.
- Lead the adoption and practical implementation of Generative AI and large language model (LLM) technologies within products.
- Mentor and guide engineering teams, promoting best practices and high coding standards.
- Conduct technical reviews, ensure code quality, and provide hands-on support for critical projects.
- Collaborate cross-functionally to deliver impactful AI-driven features and enhancements.
- Identify emerging technology trends and advocate for innovations that benefit the organization.
Must have requirements
- Extensive full-stack engineering experience, with strong proficiency in Python and React.
- Deep practical knowledge of Generative AI, large language models (LLMs), and their integration into production systems.
- Demonstrated leadership and mentoring skills within engineering teams.
- Track record of architecting and delivering complex, scalable technology solutions.
- Excellent communication and problem-solving abilities.
Nice to have requirements
- Experience with machine learning frameworks and data pipelines.
- Background in cloud platform services (AWS, Azure, GCP).
- Exposure to containerization, orchestration (Docker, Kubernetes).
- Previous work with prompt engineering or fine-tuning LLMs.
- Knowledge of modern CI/CD pipelines.
Perks and Benefits
- Opportunity to work with innovative AI and full-stack projects.
- Collaborative and forward-thinking engineering teams.
- Professional development and advanced learning opportunities.
- Competitive compensation and performance-based incentives.
- Supportive work environment fostering leadership growth.