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10 hours ago
This role demands deep expertise in Large Language Models (LLMs) integration, cloud-native architecture and hands-on leadership in delivering scalable GenAI solutions on cloud platforms.
Key Responsibilities:- Lead the design, development, and deployment of GenAI projects leveraging LLMs on cloud platforms.
- Architect and implement scalable, event-driven cloud-native solutions using AWS services.
- Drive prompt engineering strategies including prompt versioning, optimization, and chain-of-thought design to enhance model performance.
- Oversee fine-tuning, embeddings, and conversational flow development to build intelligent, context-aware AI applications.
- Integrate and manage LLM APIs for delivering cutting-edge AI capabilities.
- Utilize vector databases for embedding-based search and Retrieval-Augmented Generation.
- Lead model evaluation efforts including output analysis, performance tuning, and quality benchmarking.
- Collaborate with cross-functional teams to align AI solutions with business goals.
- Mentor technical teams on best practices in GenAI development and cloud architecture.
- Stay abreast of advancements in AI, cloud technologies, and LLM frameworks.
- Proven experience integrating LLMs into real-world applications.
- Strong programming skills in Python and experience with web frameworks.
- Expertise in cloud architecture, particularly AWS services.
- Deep knowledge of LLM APIs and vector databases.
- Proficiency in prompt engineering techniques and LLM frameworks.
- Experience with embedding-based search methodologies.
- Strong skills in model evaluation and project management.
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