Description : Requirements :
- 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 and Llamalndex.
- Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilisation.
- Expertise in crafting and optimising 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.
(ref : hirist.tech)