Senior AI Developer

As a Senior AI Developer at our company, your role will involve designing and deploying advanced AI solutions using the latest generative AI (GenAI), agentic AI, and other cutting-edge technologies. You will be working in a dynamic, data-intensive environment where innovation and pushing the boundaries of AI technology are key. Key Responsibilities: - Architect, develop, and implement AI models and systems with a focus on generative and agentic AI, leveraging state-of-the-art algorithms and frameworks. - Stay updated on the latest trends and breakthroughs in AI, particularly in GenAI and agentic AI, experimenting with novel approaches to enhance product capabilities. - Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring seamless data flow and optimal performance. - Write robust, clean, and maintainable code, lead technical discussions, perform code reviews, and mentor junior developers. - Optimize AI models for efficiency and scalability, addressing performance bottlenecks and monitoring system performance for reliability and accuracy. Required Qualifications: - Extensive industry experience in AI development, showcasing proficiency in generative AI and agentic AI applications. - Hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch) and familiarity with emerging generative AI platforms. - Proficiency in Python, with exposure to additional languages like Rust or C++ considered a plus. - Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines. - Strong analytical and problem-solving skills, excellent communication skills, and familiarity with Agile methodologies. Preferred Qualifications: - Advanced degrees (Masters/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Experience with cloud-based AI solutions and infrastructure (e.g., AWS, Azure, Google Cloud). - Proven track record of contributing to AI research publications or patents in the field of generative and agentic AI. - Knowledge of ethical AI practices and ensuring model fairness, transparency, and accountability.,