Senior AI Engineer

We are looking for a superstar Senior AI Engineer to rapidly design, prototype, test, and productionize AI systems that turn visual, multimodal, and contextual data into reliable, actionable intelligence.

This role is ideal for a hands-on senior engineer with strong expertise in Physical AI, computer vision, NLP, multimodal AI, as well as experience in robotics and AI-enabled smart devices. The ideal candidate can take ownership of complex technical problems, communicate clearly with technical and non-technical stakeholders, and move quickly from real-world requirements to working prototypes and production-ready systems.

You should also be an expert user of AI code assistants and modern AI development tools and frameworks, using them to accelerate prototyping, debugging, testing, and creative problem-solving.

Key Responsibilities

• Rapidly prototype, test, iterate, and productionize features for AI-powered applications.
• Own scalable technical design and delivery of AI features from concept through production deployment.
• Build computer vision, NLP, Physical AI, and multimodal AI systems for real-world industrial environments.
• Train, fine-tune, optimize, and deploy smaller AI models for on-prem, edge, robotics, and smart-device environments.
• Develop AI models and services for images, video, sensor data, SOPs, metadata, and natural-language instructions.
• Develop backend services and low-latency APIs that expose model inference and reasoning to web, mobile, wearable, robotics, and smart-device applications.
• Use AI coding assistants effectively to speed up development, testing, debugging, refactoring, and experimentation.
• Evaluate model performance, identify failure modes, and improve robustness under real-world conditions such as noisy manufacturing plants with poor bandwidth.
• Communicate technical decisions, trade-offs, risks, and progress clearly to engineering, product, leadership, and client stakeholders.
• Provide technical leadership and mentorship in applied AI, backend development, and production ML best practices.

Required Skills and Qualifications

• 5+ years of professional experience in AI / ML engineering, preferably in production environments.
• Strong ability to rapidly develop, test, iterate, and productionize AI applications.
• Senior-level ownership mindset with strong communication, collaboration, and technical leadership skills.
• Expert user of AI code assistants and AI development tools for rapid prototyping and creative problem-solving.
• Practical expertise in computer vision, NLP, multimodal AI, and Physical AI.
• Experience training, fine-tuning, optimizing, or deploying smaller models for on-prem, edge, robotics, or smart-device use cases for image, video, text, or multimodal data.
• Understanding of AI applications for robotics, smart devices, wearables, edge systems, cameras, sensors, or real-time physical-world workflows.
• Strong Python skills and hands-on experience with PyTorch or similar ML frameworks.
• Experience developing AI-driven backend services and APIs using FastAPI, Flask, or similar frameworks.
• Strong problem-solving skills and ability to diagnose model failures, edge cases, and production issues.
• Fearless of technical challenges

Nice to Have

• Experience with robotics, including imitation learning, physical simulation environments, sim2sim and sim2real processes as well as robotic programming interfaces, languages and tools.
• Experience with embodied AI, edge AI, live video pipelines, sensor fusion, or smart-device applications.
• Experience with model compression, quantization, distillation, LoRA / fine-tuning, and low-latency inference.
• Experience with LLMs, VLMs, RAG systems, model serving, cloud ML platforms, or production ML infrastructure.
• MSc or PhD in Artificial Intelligence, Machine Learning, Computer Vision, NLP, Robotics, Computer Science, or a related advanced AI field strongly preferred.

What We Offer:

• Competitive compensation and benefits.
• Flexible hybrid / remote work within Ontario.
• Opportunity to build real-world AI systems across manufacturing, automotive, robotics, smart devices, and field-service workflows.
• A collaborative, growth-oriented environment with strong ownership and technical influence.