Senior Staff AI Engineer

Join our team as a Senior Staff AI Engineer, where you will lead the development of an Agentic Framework to support our AI applications. This role requires a combination of architectural expertise and production rigor, with a focus on designing and implementing an extensible architecture for software-defined vehicles. You will be responsible for driving architectural consensus, leading the development of agentic orchestration, and conducting the full cycle of data modeling and algorithm development. This position offers flexible working arrangements, unlimited PTO, and a comprehensive benefits package.

• Lead the architecture and design of an extensible AI platform, driving architectural consensus across teams on AI-core decisions.
• Design and implement mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks.
• Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services.

• Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments
• Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required
• Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases
• Proven experience building multi-agent systems and frameworks with adaptive orchestration
• Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions
• 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments
• Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable
• Experience in the automotive industry is highly desirable
• Solid experience in data preprocessing, feature engineering, and model evaluation techniques
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus
• Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams
• Strong knowledge of software development best practices, version control systems, and agile methodologies
• Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms
• Results-driven with a positive can-do attitude and excellent problem-solving skills