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1 day ago
This highly skilled and visionary role demands expertise in integrating Large Language Models (LLMs) into real-world applications, designing scalable cloud-native architecture, and leading technical teams.
Key Responsibilities:- Lead the design, development, and deployment of GenAI projects leveraging LLMs on cloud platforms, primarily AWS.
- Architect and implement event-driven cloud-native solutions using AWS services.
- Develop prompt engineering strategies including versioning, optimization, and chain-of-thought design to enhance model performance.
- Oversee fine-tuning, embeddings, and conversational flow development for intelligent, context-aware AI applications.
- Integrate and manage LLM APIs such as Azure OpenAI for cutting-edge AI capabilities.
- Utilize vector databases for embedding-based search and Retrieval-Augmented Generation (RAG).
- Lead model evaluation efforts including output analysis, performance tuning, and quality benchmarking to ensure high standards.
- Collaborate with cross-functional teams to align AI solutions with business goals.
Skills & Experience:
- Proven experience integrating LLMs into real-world applications.
- Strong programming skills in Python and web frameworks like FastAPI or Flask.
- Expertise in cloud architecture, particularly AWS services and event-driven design patterns.
- Deep knowledge of LLM APIs, with mandatory experience in Azure OpenAI.
- Experience working with vector databases and LLM frameworks like LangChain and LlamaIndex.
- Proficiency in prompt engineering techniques and embedding-based search methodologies.
- Strong skills in model evaluation and leadership.
- Opportunity to work with cutting-edge AI technologies.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
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