We are seeking a highly skilled AI Applications Developer to design, develop, and support enterprise\-grade AI solutions. The ideal candidate will have hands\-on experience with modern AI tools and technologies, classical AI techniques, and cloud\-based application development. This role involves building innovative AI\-driven solutions that enhance business processes, automate operations, and deliver measurable value to the organization. **Key Responsibilities:** Design, develop, and support AI\-based enterprise applications using modern AI technologies, including AI Agents, Retrieval Augmented Generation (RAG), Managed Cloud Platforms (MCP), and Large Language Models (LLMs). Apply classical AI and machine learning techniques such as clustering, classification, regression, Monte Carlo simulations, and Bayesian blending to solve complex business problems. Participate in system planning, scheduling, and implementation of enterprise\-scale AI applications. Build new product features and enhance existing ones to automate and optimize complex business flows and operations. Collaborate with cross\-functional teams, including product managers, engineers, and business stakeholders, to understand requirements and deliver innovative AI\-driven solutions. Ensure AI applications are scalable, reliable, and perform efficiently in cloud environments. Contribute to defining and promoting best practices for AI application development, testing, deployment, and maintenance. **Qualifications:** Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in designing and developing AI applications in an enterprise environment. Strong knowledge of modern AI frameworks, tools, and platforms. Solid understanding of classical AI techniques and their practical applications. Hands\-on experience with cloud platforms and deployment of AI solutions in a scalable manner. Excellent problem\-solving, analytical, and communication skills. Ability to work collaboratively in cross\-functional teams and manage multiple priorities. **Preferred Skills:** Experience with AI Agents, RAG systems, and LLM deployment. Familiarity with DevOps practices for AI application deployment. Knowledge of advanced machine learning algorithms and simulation techniques. * Design, develop, and support AI\-based enterprise applications using modern AI tools and technologies (e.g., AI Agents, Retrieval Augmented Generation \[RAG], Managed Cloud Platform \[MCP], Large Language Models). * Apply classical AI techniques such as clustering, classification, regression, Monte Carlo simulations, and Bayesian blending. * Participate in system planning, scheduling, and implementation for enterprise\-scale AI applications. * Build new product features and/or enhance existing features to automate complex business flows and operations. * Collaborate with cross\-functional teams to understand requirements and deliver innovative AI\-driven solutions. * Ensure application scalability, reliability, and performance in a cloud environment. * Contribute to best practices for development, testing, and deployment of AI applications.