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