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DYN-IT is seeking a middle-level RAG/AI Developer to strengthen enterprise AI initiatives by building robust RAG systems, integrating vector databases, and using embeddings to boost accuracy. You will work with LangChain and other LLM frameworks to implement scalable solutions and support enterprise growth.
This role emphasizes practical AI integrations, code quality, and cross-team collaboration with data engineers and product teams to deliver measurable performance gains, while collaborating
DYN-IT seeks a middle-level RAG/AI Developer to enhance enterprise AI solutions through RAG systems and integrations. Candidates with experience in vector databases and LLM frameworks should apply.
As a RAG/AI Developer at DYN-IT, you will focus on developing and optimizing RAG systems to support enterprise-level growth. Your role will involve leveraging vector databases and embeddings to enhance AI capabilities within the organization.
You will work with LLM frameworks, particularly LangChain, to implement solutions that drive efficiency and innovation. Success in this role requires a solid understanding of AI integrations and the ability to collaborate effectively within a remote team.