Senior Artificial Intelligence Engineer

Join our team as a Senior Artificial Intelligence Engineer, where you will play a crucial role in accelerating software innovations for next-generation software-defined vehicles. You will be responsible for implementing an Agentic Framework to support our AI applications, writing production-grade code, and translating architectural designs into high-performance systems. This hands-on role requires a strong focus on execution, code quality, and system reliability. You will also lead efforts to leverage existing AI models and frameworks, conduct data analysis, and collaborate with cross-functional teams.

• Implementing an Agentic Framework to support AI applications and writing production-grade code for real-time vehicle interaction.
• Leading efforts to leverage existing AI models and frameworks to solve complex business challenges, including designing and implementing reason and act loops for AI agents.
• Conducting the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services.

• Strong knowledge of software development best practices, version control systems, and agile methodologies
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus
• Experience in the automotive industry is highly desirable
• Proven experience building multi-agent systems and frameworks with adaptive orchestration
• In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms
• Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams
• Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required
• Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments
• Results-driven with a positive can-do attitude and excellent problem-solving skills
• Solid experience in data preprocessing, feature engineering, and model evaluation techniques