Lead AI Engineer

We are seeking an experienced AI Lead Engineer to join our dynamic team, driving innovation in AI-driven solutions with a global impact. This role is specifically tailored for a highly motivated professional with a strong technical background in Python and Java, hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience, preferably on AWS. As our AI Lead Engineer, you will spearhead the end-to-end development lifecycle, including solution architecture, design, implementation, deployment, and scaling of cutting-edge AI applications. Your leadership will ensure the delivery of high-performance, reliable, and impactful solutions. What You Will Do: • Lead the design and development of AI-driven applications, particularly focusing on RAG based chatbot solutions. • Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. • Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. • Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. • Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. • Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. • Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. Summit Executive Centre, 13706 Research Blvd, Suite 211 D, Austin, TX 78750 3 Required Skills & Qualifications • Bachelor’s or master's degree in computer science, Engineering, Data Science, Mathematics, Statistics or related fields. • At least 5 years of professional experience in AI/Machine Learning engineering. • Strong programming skills in Python and Java. • Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG) based chatbots or similar generative AI applications. • Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. • Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. • Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. Preferred Qualifications: • AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). • Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. • Experience in Agile development methodologies. • Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. • Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenge

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