Senior Staff AI Engineer

We are seeking a highly motivated Senior Staff 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 the 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 optimisation, 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 prioritises execution, code quality, and system reliability for multi-agent systems, AI technologies, and platforms.

Responsibilities

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; Maintain strong domain expertise in AI including LLMs, Time Series, RAG, fine-tuning large models, traditional ML models; Stay current with industry trends and advancements in data science and AI technologies; 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

Requirements

Bachelor's degree required; 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); Proven experience building multi-agent systems and frameworks with adaptive orchestration; Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments; In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms; Solid experience in data preprocessing, feature engineering, and model evaluation techniques; Strong knowledge of software development best practices, version control systems, and agile methodologies; Results-driven with a positive can-do attitude and excellent problem-solving skills; Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams

Nice to have

Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred; 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

Benefits

Competitive compensation and equity program; Health care plan (Medical, Dental & Vision); Flexible and Dependent Care Expense program; Retirement plan (401k); Life Insurance (Basic, Voluntary & AD&D); Unlimited paid time off per year, 15 paid holidays; Hybrid office work arrangement/flexibility; Complimentary lunches, snacks, and beverages during on-site working days; Wellness benefit allowances (towards gym membership and fitness programs); Internet reimbursement; Computer Accessory Allowance; Departmental team building and outings; Employee Referral Program; Culture/Employee Satisfaction Surveys - Feedback matters!