- We are seeking a highly motivated AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. In this role, you will be responsible for high-quality implementation of an Agentic Framework to support our AI applications
- You will be responsible for writing the production-grade code that allows our AI applications to interact with millions of vehicles in real-time
- We need a “builder” who thrives on the technical details of multi-agent orchestration, tool-calling optimization, and LLM security
- You will translate architectural designs into executable, high-performance systems, taking full ownership of the development lifecycle from local prototyping to global cloud deployment
- This is a hands-on role for an engineer who prioritizes execution, code quality, and system reliability for multi-agent systems, AI technologies and platforms
- Lead efforts to leverage existing AI models and frameworks to solve complex business challenges
- Develop agentic orchestration by designing and implementing reason and act loops that allow AI agents to decompose complex goals into actionable sub-tasks
- Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts
- Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution
- Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth)
- Strong domain expertise in the AI area including LLM, Time Series, RAG, fine-tune large models, traditional ML models, etc. (AI depth)
- Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art)
- Perform data analysis and offer insights to inform business decisions across multiple domains
- Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information
- Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions
- Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations
- Take charge of projects, ensuring timely completion in a dynamic work environment
Benefits
- Stock option program
- Flexible working arrangements
- Unlimited PTO
- Comprehensive benefits with generous allowance
- Free in-office food & snacks!
Strong knowledge of software development best practices, version control systems, and agile methodologiesFamiliarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plusExperience in the automotive industry is highly desirableProven experience building multi-agent systems and frameworks with adaptive orchestrationIn-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platformsStrong 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 teamsMaster’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor’s degree requiredDeep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environmentsResults-driven with a positive can-do attitude and excellent problem-solving skillsSolid experience in data preprocessing, feature engineering, and model evaluation techniques