Senior Python AWS GenAI Engineer

Key Responsibilities

• Lead the design, development, and deployment of scalable GenAI solutions tailored to organizational needs.
• Architect and implement N-tiered and multi-tier applications, ensuring high performance, scalability, and maintainability.
• Drive the development of AI/GenAI systems, ensuring they meet enterprise-grade standards in security, efficiency, and reliability.
• Lead end-to-end enterprise implementations for AI/GenAI projects, including architecture, infrastructure, security, and MLOps/GenAIOps.
• Work with RAG (Retrieval-Augmented Generation) technologies, LLM frameworks, embedding models, and vector databases.
• Integrate LLM APIs and registries (e.g., Hugging Face) to enhance AI solution capabilities.
• Design and develop data processing and analytics systems using Python frameworks such as Django, Flask, Django REST, or FastAPI.
• Perform hands-on coding and oversee all phases of the software development lifecycle (SDLC) from concept to deployment.
• Collaborate with cross-functional teams and internal stakeholders to align GenAI initiatives with business goals.
• Lead and mentor junior engineers, fostering a culture of innovation and continuous learning.
• Troubleshoot, optimize, and maintain complex systems and applications to ensure seamless performance.