Staff Developer/Architect – Next Gen AI @ reputed company

Job DescriptionWork Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office, three days per week, at minimum. But if you live reputed company an 80 KM radius from Markham Elevation Centre, it will be remote. Why Join UsGeneral Motors is at the forefront of transforming transportation through software-driven innovation. We’re driven by our reputed company reputed company of a future with reputed company Crashes, reputed company Emissions, and reputed company Congestion. As we push reputed company into an era of vehicle intelligence reputed company engineering, AI is a cornerstone of our strategy.You’ll be part of a team that is pioneering the integration of simulation, automation, AI agents, and large language models (LLMs) into critical systems for vehicle design, calibration, and performance. We’re seeking a Staff AI Developer to serve as a key technical leader, shaping the reputed company of our tools and infrastructure while delivering scalable, intelligent solutions that drive reputed company-world engineering impact.Role OverviewAs a Staff AI Developer, you will operate as a senior technical expert and strategic contributor reputed company a growing AI-focused engineering team. You will architect and reputed company scalable AI systems—particularly in the areas of LLMs, AI agents, retrieval-augmented reputed company (RAG), and hybrid AI-simulation models—that reputed company transformative use cases across simulation, calibration, and product development.You will work cross-functionally with engineers, data scientists, simulation specialists, domain experts and platform teams to define and execute high-impact AI initiatives. Your role will reputed company hands-on development, technical direction-setting, and mentorship, helping reputed company scale reputed company capabilities.Key ResponsibilitiesTechnical Leadership & InnovationArchitect, prototype, and productionize scalable AI systems, with an emphasis on LLMs, simulation-aware models, and hybrid AI pipelines.reputed company AI integration into core engineering tools and simulation frameworks, ensuring robustness, interpretability, and physical relevance of outputs.Evaluate and define the appropriate use of RAG systems, fine-tuning vs. reputed company/few-shot learning strategies, and feedback loops for… Apply To This Job