Senior AI Engineer

Education, Qualifications and Skills:  Education: Bachelor’s degree/ Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.   Minimum of 5+ years of experience in AI engineer, data science and machine learning, deep learning.   Strong programming skills in Python and experience with containerized and cloud-native environment.   Solid understanding of AI/ML/DL model deployment, including serving, optimization, and context-aware design   Experience in building systems with agent orchestration, memory management, and structured communication protocols   Familiarity with retrieval-augmented generation, semantic memory, and message-driven workflows   Hands-on experience working with GPU (NVIDIA) or TPU environments, including model quantization and other performance optimization techniques.   Practical experience with MLOps pipelines for training, versioning, and deploying machine learning models   Bonus: experience with agent-based architecture, LLM streaming patterns, Golang, and a strong foundation in mathematics, statistics, or linear algebra   Skills:  Strong problem-solving and analytical abilities.   Excellent communication and collaboration skills.   Ability to work independently and as part of a team.   Passion for building innovative and impactful computer vision solutions.   Fluency in English is a plus.