Senior Gen AI Developer: LLMs, RAG Techniques, MLOps Focus

Shape the landscape of generative AI as a Senior Gen AI Developer. Focus on LLM technologies, retrieval-augmented generation, and MLOps for cutting-edge applications.
Bringing 6-10 years of hands-on experience, you will be tasked with building, tuning, and deploying AI applications. Your key skills will include developing prompt strategies and integrating AI into existing enterprise systems using APIs and orchestration tools.
Key Responsibilities:
• Develop and deploy advanced LLM applications
• Implement efficient RAG pipeline strategies
• Enhance prompt engineering and reusable templates
• Collaborate AI solutions with enterprise applications
• Establish robust MLOps deployment frameworks
Requirements:
• 6-10 years in relevant development roles
• Proficient in Python and machine learning libraries
• Experience with vector databases for data management
• Solid understanding of MLOps principles and practices
• Capability to handle unstructured dat...