Senior/Lead AI Developer

Role Overview: You will be a highly experienced Senior/Lead AI Developer with expertise in the latest 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, making it perfect for an innovative thinker who thrives in fast-paced settings and is eager to push the boundaries of AI technology. Key Responsibilities: - Architect, develop, and implement AI models and systems with a strong focus on generative and agentic AI. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications. - Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and Agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities. - Work closely 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, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence. - Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy. Qualification Required: - Extensive industry experience in AI development, with a strong portfolio demonstrating 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; exposure to Rust or C++ is a plus. - Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines. - Strong experience in frontend and backend development. - Proven experience in developing REST APIs for scalable applications. - Practical experience with LangChain, LangFlow, and similar frameworks. - 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 Details: - The company values strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. - Effective communication skills for collaboration across diverse teams are essential. - Familiarity with Agile methodologies and best practices in software development is preferred.,