Senior Staff AI Engineer

At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 9 million vehicles on the road today and rapidly expanding.

Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we’re solving some of the most interesting and complex challenges in the industry. Join us and help redefine what’s possible as we shape the future of mobility.

Role Summary:

We are seeking a highly motivated Senior Staff AI Engineerto 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.