Gene AI Contractor

As a GenAI Technical Architect at the company, your role involves designing, developing, and deploying cutting-edge Generative AI solutions using the latest Large Language Models and frameworks. Your deep expertise in Python programming, cloud platforms, and advanced AI techniques will be crucial in leading the development of scalable and secure GenAI applications that align with business goals and technical requirements. Key Responsibilities: - Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. - Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. - Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. - Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. - LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. - Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. Qualifications Required: - Deep expertise in Python programming and cloud platforms (Azure, GCP, AWS). - Knowledge of advanced AI techniques such as fine-tuning, LLMOps, and Responsible AI. - Experience in designing and developing scalable AI applications using frameworks like Autogen, Crew.ai, etc. (Note: No additional details about the company were mentioned in the job description provided.),