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Job Description
Roles and Responsibilities :
- Experience in creating GenAl applications such as answering engines, extraction components, and content authoring
- Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & Llamalndex
- Good understanding of various LLMs like Azure OpenAl and proficiency in their effective utilization
- Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques
- Skilled in creating prompts that efficiently guide LLMS to generate outputs meeting business requirements
- Solid working knowledge of the engineering components essential in a Gen Al application, including Vector DB, caching layer, chunking, and embedding
- Experience in scaling GenAl or similar applications to accommodate a high number of users, large data size, and reduce response time
- Experience in writing scalable APIs
- Strong python skills
- Must Have Skills: Python, AWS/Azure Data Science, Gen Al APIs, Gen Al Framework (Langchain, LlamaIndex), Vector DB, Software Engineering, FastAPI
- Good to Have: DevOps, CI/CD, Kubernetes. Product development Experience
Skills
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