Staff AI Engineer

Sonatus; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Sonatus is seeking a highly motivated Staff AI Engineer to define and develop next-generation agentic AI applications for software-defined vehicles. You will be critical in accelerating software innovations that solve complex, real-world customer problems.

Responsibilities include leading architecture and development of end-to-end AI solutions, building data pipelines for continuous agent operations, and translating customer problems into deployable AI systems.

Qualifications

• Proven experience in designing and deploying end-to-end agentic AI systems in a production environment.
• In-depth knowledge of current agentic AI technologies and a strong software development background.
• Expertise in building high-performance AI applications that integrate multiple data sources.
• Excellent problem-solving, system design skills, and ability to drive technical alignment across teams.
• MS or PhD in a science or engineering field.
• Experience building and maintaining scalable, big data applications in a cloud environment.

Responsibilities

• Lead the architecture and development of end-to-end software solutions leveraging agentic AI (e.g., LLMs, agent frameworks, RAG, context engineering, and evaluation).
• Design and implement robust data orchestration and processing pipelines for continuous agent operations and performance improvement.
• Translate complex customer problems and business requirements into effective, deployable AI solutions.

Skills

AI engineering

problem-solving

system design

team alignment

Education

MS or PhD in science or engineering

Tools

LLMs

agent frameworks

RAG

context engineering

Job description

Role Summary

Sonatus is seeking a highly motivated Staff AI Engineer to define and develop next-generation agentic AI applications for software-defined vehicles. You will be critical in accelerating software innovations that solve complex, real-world customer problems.

Responsibilities

• Lead the architecture and development of end-to-end software solutions leveraging agentic AI (e.g., LLMs, agent frameworks, RAG, context engineering, and evaluation).
• Design and implement robust data orchestration and processing pipelines for continuous agent operations and performance improvement.
• Translate complex customer problems and business requirements into effective, deployable AI solutions.

Requirements

• Proven experience in designing and deploying end-to-end agentic AI systems in a production environment.
• In-depth knowledge of current agentic AI technologies and a strong software development background.
• Expertise in building high-performance AI applications that integrate a multitude of data sources.
• Excellent problem-solving, system design skills, and the ability to drive technical alignment across teams.
• MS or PhD in a science or engineering field.
• Experience in building and maintaining scalable, big data applications in a cloud environment.