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12 hours ago
We are seeking a skilled professional to join our team as a Generative AI Engineer: RAG Specialist. As a key member of our organization, you will be responsible for designing, implementing, and optimizing AI-powered systems that combine large language models (LLMs) with retrieval mechanisms for real-world enterprise applications.
The ideal candidate will have strong expertise in Retrieval-Augmented Generation (RAG) pipelines using tools such as LangChain. Additionally, they should possess proficiency with vector databases and have strong programming skills in Python and ML libraries.
Responsibilities will include designing and developing RAG-based solutions integrating LLMs with vector databases and retrieval pipelines, implementing document ingestion, preprocessing, embedding generation, and semantic search workflows, evaluating and benchmarking various retrievers, building and deploying scalable ML pipelines in production, ensuring low-latency inference, and optimizing retrieval pipelines for efficiency.
We offer a collaborative work environment where you will have the opportunity to research and apply state-of-the-art GenAI techniques for improving retrieval, grounding, and hallucination reduction.
Requirements:- Strong expertise in RAG pipelines using tools such as LangChain.
- Proficiency with vector databases.
- Strong programming skills in Python and ML libraries.
- Knowledge of retrieval algorithms, embeddings, and ranking methods.
- Expertise in prompt engineering and evaluation of LLM-based solutions.
This is an excellent opportunity for individuals who are passionate about innovation and looking to make a meaningful impact in the field of Generative AI.
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