Senior Staff AI Engineer

Role Summary:

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 (AI breadth).
• Strong domain expertise in the AI area, including LLMs, Time Series, RAG, fine-tuning 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.

Qualifications:

• Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. 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.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• 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.
• Experience in the automotive industry is highly desirable.

Benefits Offered:

• 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

Perk Offerings include:

• Complimentary lunches, snacks, and beverages during on-site working days
• Wellness benefit allowances (towards gym membership and fitness programs)
• Internet reimbursement
• Computer Accessory Allowance

Employee Engagement Offerings:

• Departmental team building and outings
• Employee Referral Program
• Culture/Employee Satisfaction Surveys - Feedback matters!