AI Engineer, Generative AI and Agentic AI
Responsibilities: - Design, develop, and optimize cutting-edge AI models with a focus on Generative and Agentic AI applications. - Collaborate closely with cross-functional teams to integrate AI solutions into existing products and services. - Conduct research to advance the state of the art in AI, contributing to publications in top-tier journals and conferences. - Implement robust machine learning algorithms that enhance the performance and capabilities of AI systems. - Lead the development of scalable AI systems, ensuring high efficiency and accuracy. - Evaluate and improve existing AI models to align with the latest technological advancements. - Mentor junior engineers and drive initiatives for professional development within the AI team. Requirements: - Over 10 years of experience in AI development, with specific expertise in Generative and Agentic AI. - Proven track record of developing large-scale AI systems in a commercial setting. - Strong programming skills in Python, TensorFlow, PyTorch, or similar AI frameworks. - Deep understanding of machine learning principles, neural network architecture, and natural language processing. - Excellent problem-solving skills and ability to innovate using latest AI technologies. Qualifications: - Master’s or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. - Extensive publication history in reputable AI conferences and journals is desirable. - Experience with AI model deployment in real-world applications. - Strong communication skills and ability to articulate complex technical concepts to non-technical stakeholders. - Proven leadership experience in managing large and diverse engineering teams. Additional Skills: - Experience with cloud-based AI solutions and architectures. - Familiarity with data privacy and ethical considerations specific to AI solutions. - Ability to work on-site full-time and lead collaborative projects effectively. - Familiar with agile development methodologies and version control systems.