Summary
XD.AI is seeking a Principal Engineer to architect and deliver scalable full-stack solutions in Abu Dhabi, working on-site. The role leads the practical adoption of Generative AI and LLMs in production products, conducts technical reviews, and mentors engineering teams. Candidates should have extensive full-stack experience, strong Python and React skills, and a record of delivering complex systems. Experience with cloud platforms, machine learning frameworks, containers, and LLM fine-tuning is beneficial.
The posting
As published on xdigit.ai. Pulled from the employer's site and shown as they wrote it.
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.