Senior Engineer AI, CV & Edge Product Development

In this role as a Senior Engineer AI & Edge Product Development, you will be responsible for designing, developing, integrating, and optimizing advanced technology components within AI and computer vision-based product lines. Your key responsibilities will include: - Developing core software modules for edge and server environments, including system services, APIs, and AI integration layers. - Participating in designing end-to-end architecture involving AI/CV models, sensor integration, and multi-platform deployment. - Integrating AI/ML models into production pipelines and optimizing runtime performance and memory utilization for inference on edge devices such as GPU, TPU, and ARM platforms. - Ensuring compatibility and performance alignment between software applications and underlying edge or server hardware, working on low-level device interfaces, sensor control, and real-time data acquisition when required. - Contributing to the development of utilities for diagnostics, licensing, system configuration, remote updates, and monitoring. - Supporting infrastructure sizing and configuration based on AI workload profiles, latency requirements, and deployment architecture, and collaborating with DevOps for containerization, CI/CD setup, and deployment automation across environments. - Writing clean, maintainable, and scalable code with unit tests and inline documentation, participating in code reviews, performance tuning, and system debugging efforts. - Providing technical mentorship to junior engineers and interns while collaborating with product, QA, infrastructure, and hardware teams for coordinated execution. Qualifications Required: - Bachelors or Masters degree in Computer Science, Electronics, Electrical Engineering, or a related field. - At least 3 years of hands-on engineering experience in product development, preferably in AI/CV-enabled or embedded systems. - Strong programming skills in Python, C++, or C with experience in multi-threaded and real-time systems. - Practical experience with AI inference engines and edge deployment tools. - Familiarity with REST APIs, licensing SDKs, Docker/Kubernetes, Linux environments. - Exposure to regulated environments or mission-critical deployments. Please note that this is a full-time, permanent position with a fixed shift schedule from Monday to Friday. The work location is in person, and the expected start date is 25/07/2025.,