Senior/Lead AI Developer

Role Overview: You will be working as a Senior/Lead AI Developer with a focus on Generative AI (GenAI), Agentic AI, and other cutting-edge artificial intelligence technologies. Your role will involve designing and deploying advanced AI solutions in dynamic, data-intensive environments. This position is ideal for innovative thinkers who enjoy working in fast-paced settings and are eager to explore the boundaries of AI technology. Key Responsibilities: - Architect, develop, and implement AI models and systems, emphasizing generative and agentic AI. Utilize cutting-edge algorithms and frameworks to create scalable and high-performance AI applications. - Stay updated on the latest trends and advancements in AI, particularly in GenAI and Agentic AI. Experiment with new approaches to drive innovation and enhance product capabilities. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms. - Write robust, clean, and maintainable code. Lead technical discussions, conduct code reviews, and mentor junior developers to foster a culture of continuous learning and excellence. - Optimize AI models for efficiency and scalability. Identify and address performance bottlenecks while continuously monitoring system performance to ensure reliability and accuracy. Qualification Required: - Extensive industry experience in AI development, showcasing proficiency in Generative AI and Agentic AI applications. - Hands-on experience with modern AI frameworks like TensorFlow and PyTorch, along with familiarity with emerging Generative AI platforms. - Proficiency in Python; exposure to Rust or C++ is a plus. - Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines. - Strong experience in both frontend and backend development, including developing REST APIs for scalable applications. - Practical experience with AI Agent development frameworks such as LangChain and LangFlow. - Hands-on experience in training, fine-tuning, and deploying AI/ML models. - Familiarity with AWS or GCP cloud environments for deploying AI workloads. - Worked with advanced protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. Additional Company Details: N/A,