Senior AI Engineer

About Sonatus

Sonatus is pioneering the evolution to AI-powered software-defined vehicles, advancing beyond traditional automotive software approaches that lag behind fast-moving consumer expectations driven by the mobile industry. Trusted by top original equipment manufacturers (OEMs), Sonatus technology operates in over 8 million vehicles globally and continues to grow rapidly. The company is headquartered in Sunnyvale, CA, and employs over 250 people worldwide, blending the swiftness of a startup with the scale of an established enterprise. Backed by strong funding and proven deployment, Sonatus solves some of the automotive industry's most complex challenges, shaping the future of mobility.

Role Overview

We are looking for a dedicated Senior AI Engineer to join our team to accelerate innovation in software for next-generation software-defined vehicles. The role involves implementing a robust Agentic Framework to support AI applications, developing high-quality production code for real-time vehicle interaction at scale. This position requires someone detail-oriented with expertise in multi-agent orchestration, tool-calling optimization, and securing large language models. You will translate architecture into performant systems and manage the full development lifecycle from prototype to global cloud deployment. This hands-on position emphasizes execution, code excellence, and system dependability for multi-agent AI systems.

The position is hybrid-based, requiring presence in our Dublin office for three days each week.

Key Responsibilities

• Drive the application of existing AI models and frameworks to address intricate business problems.
• Create and implement agent orchestration mechanisms featuring reason-and-act loops that decompose complex objectives into executable sub-tasks.
• Develop a versioned prompt registry to facilitate model-agnostic routing and A/B testing of AI system prompts.
• Build privacy safeguards for personally identifiable information (PII) redaction and design hallucination verification systems to audit AI-generated actions pre-execution.
• Lead end-to-end data modeling and algorithm development processes, including model training, tuning, validation, deployment, and maintenance across diverse AI domains.
• Maintain strong expertise in AI areas such as large language models (LLM), time series analysis, retrieval augmented generation (RAG), fine-tuning large models, and classical machine learning methods.
• Stay updated on the latest trends and advances in AI and data science to ensure state-of-the-art solutions.
• Perform comprehensive data analysis to generate insights that guide business decisions across various domains.
• Ensure adherence to data privacy and security standards to protect sensitive information.
• Collaborate with multidisciplinary teams to gather requirements and translate them into AI and data science solutions.
• Document and share technical designs, processes, and best practices with stakeholders through visual presentations.
• Lead projects to successful, timely completion within a fast-paced work setting.

Qualifications and Experience

• Master's or PhD preferred in Computer Science, Engineering, Mathematics, Applied Sciences, or related disciplines; Bachelor's degree required.
• Proficiency in programming languages such as Golang, Python, Java, or C++, with hands-on experience in frameworks like TensorFlow, PyTorch, or scikit-learn.
• Demonstrated experience designing and building multi-agent systems along with adaptive orchestration frameworks.
• Expert understanding of jailbreak detection mechanisms (e.g., LlamaGuard) and techniques for PII masking to secure large language model interactions in regulated environments.
• Extensive knowledge of contemporary machine learning algorithms, AI platforms, and technologies.
• Strong capabilities in data preprocessing, feature engineering, and model evaluation methodologies.
• Familiarity with cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes) is advantageous.
• Thorough grasp of software development best practices, version control, and agile development methods.
• Results-oriented mindset combined with problem-solving aptitude and a positive, proactive attitude.
• Excellent communication skills, both verbal and written, suitable for effective collaboration with cross-functional teams.
• Previous automotive industry experience is highly regarded.