Senior Artificial Intelligence Developer

As a Senior AI Engineer at our company, you will be at the forefront of driving innovation in AI-driven solutions with a global impact. Your expertise in Python and Java, coupled with hands-on experience in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and cloud deployment will be instrumental in shaping the future of our products. **Key Responsibilities:** - Lead the design and development of AI-driven applications, with a particular focus on RAG-based chatbot solutions. - Architect robust solutions using Python and Java to ensure scalability, reliability, and maintainability. - Deploy, manage, and scale AI applications on AWS cloud infrastructure, optimizing performance and resource utilization. - Collaborate with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. - Mentor team members, offering guidance on software development best practices, AI methodologies, and cloud deployments. - Ensure that solutions adhere to quality standards through thorough testing, debugging, performance tuning, and documentation. - Stay updated on emerging AI technologies and methodologies to incorporate best practices and innovation into our products. **Qualifications:** - Bachelor's or master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or related fields. - Minimum of 3 years of professional experience in AI/Machine Learning engineering. **Required Skills:** - Strong programming skills in Python and Java. - Hands-on experience in building RAG-based chatbots or similar generative AI applications. - Proficiency in AWS cloud platforms, including EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. - Solid understanding of AI methodologies, such as NLP, vector databases, embedding models, and large language model integrations. - Experience in leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. **Preferred Skills:** - AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). - Familiarity with AI/ML frameworks and libraries like Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. - Knowledge of Agile development methodologies. - Excellent communication skills to convey complex technical concepts clearly. - Strong analytical and problem-solving capabilities to tackle ambiguous technical challenges. As a Senior AI Engineer at our company, you will be at the forefront of driving innovation in AI-driven solutions with a global impact. Your expertise in Python and Java, coupled with hands-on experience in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and cloud deployment will be instrumental in shaping the future of our products. **Key Responsibilities:** - Lead the design and development of AI-driven applications, with a particular focus on RAG-based chatbot solutions. - Architect robust solutions using Python and Java to ensure scalability, reliability, and maintainability. - Deploy, manage, and scale AI applications on AWS cloud infrastructure, optimizing performance and resource utilization. - Collaborate with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. - Mentor team members, offering guidance on software development best practices, AI methodologies, and cloud deployments. - Ensure that solutions adhere to quality standards through thorough testing, debugging, performance tuning, and documentation. - Stay updated on emerging AI technologies and methodologies to incorporate best practices and innovation into our products. **Qualifications:** - Bachelor's or master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or related fields. - Minimum of 3 years of professional experience in AI/Machine Learning engineering. **Required Skills:** - Strong programming skills in Python and Java. - Hands-on experience in building RAG-based chatbots or similar generative AI applications. - Proficiency in AWS cloud platforms, including EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. - Solid understanding of AI methodologies, such as NLP, vector databases, embedding models, and large language model integrations. - Experience in leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. **Preferred Skills:** - AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). - Familiarity with AI/ML frameworks and libraries like Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. - Knowledge of Agile development methodologies. - Excellent communication skills to convey complex technical concepts clearly. - Strong analytical and problem-solving capabilities to tackle ambiguous technical challenges.