Job Title

Sr. Software Engineer - AILocation: Remote – Toronto, ON A stealth-mode innovator in the AI-driven manufacturing sector is seeking a highly skilled Sr. AI Software Engineer to build and deploy reliable, real-time solutions on edge devices within industrial environments. This is a remote position based in the Greater Toronto Area, offering the opportunity to work on groundbreaking tech shaping the future of factory automation.This role is for a hands-on developer with a passion for optimizing industrial operations through vision AI, robust system architecture, and scalable data infrastructure. You’ll collaborate with world-class engineers and AI scientists to translate cutting-edge research into real-world impact.Key ResponsibilitiesDesign and implement robust on-premise infrastructure to power real-time AI vision systems on Linux-based edge devices.Develop and maintain production-grade applications handling AI inference, image processing, and system health monitoring.Engineer OTA (Over-The-Air) deployment systems and build fleet-wide software orchestration capabilities for distributed device networks.Integrate with industrial hardware systems, including PLCs, and legacy manufacturing execution systems (MES).Implement error recovery mechanisms, real-time monitoring, alerting, and reliability safeguards to ensure system uptime in mission-critical environments.Contribute to the development of a centralized data platform that supports industrial analytics, facility optimization, and predictive insights.Work with cross-functional teams to integrate AI vision workflows into safety, inspection, and quality control operations.Optimize software performance for constrained, latency-sensitive edge environments.Ensure secure, scalable communication across IoT devices and industrial protocols.QualificationsMust-Have:Strong software engineering foundation with 3–5 years of experience developing production-ready systems, especially in manufacturing or industrial settings.Proficient in Python, Linux environments, and system-level development.Hands-on experience with containerization (e.g., Docker) and modern DevOps practices.Familiarity with deploying AI/ML inference pipelines and computer vision tools.Knowledge of system reliability design (monitoring, graceful degradation, recovery strategies).Exposure to hybrid cloud-edge deployments across platforms like AWS, GCP, or Azure.Experience with device management, IoT communication protocols (MQTT, REST), and fleet-wide orchestration.Preferred:Experience with web development tools (TypeScript, React) for dashboards and operator interfaces.Familiarity with edge AI platforms like NVIDIA Jetson.Understanding of industrial networking and automation protocols (Modbus, OPC-UA, Ethernet/IP).Prior work on OTA update systems in resource-constrained environments.Strong debugging skills and problem-solving in uptime-critical environments.Bonus Points:Knowledge of time-series databases (InfluxDB, Prometheus, Grafana).Experience with manufacturing data platforms, MES, or QMS.Background in vision systems, OpenCV, TensorFlow, or PyTorch.Sector experience in food & beverage, automotive, or consumer goods manufacturing is a plus.What’s In It For YouShape the future of AI-driven factory automation with a high-growth startup.Work alongside globally recognized AI experts and engineers.Make tangible impact in production environments - not just prototypes or lab experiments.Full remote flexibility with occasional travel to industrial sites or conferences (if interested).Competitive compensation package aligned with fast-paced startup environments.If youre a platform-oriented software engineer who thrives on performance, uptime, and deploying real-time intelligence in the physical world, this is your next career-defining opportunity.About Blue Signal:Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS