About the Role:
">As a Data Engineer with expertise in Retrieval-Augmented Generation (RAG) models, you will be responsible for crafting and refining large-scale medical and scientific search applications. Your key responsibilities include designing semantic chunking strategies, enhancing automated evaluation pipelines, and fine-tuning Large Language Models (LLMs) for textual RAG use cases.">
Hands-on experimentation, model development, and backend engineering are essential components of this role. You will deploy solutions to non-production environments and collaborate closely with DevOps teams for production rollout.
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The ideal candidate possesses 1+ years of experience as a Search Engineer or AI Engineer, accompanied by strong communication skills and an ability to work independently while providing clear updates to the team. Proficiency in LangChain for building LLM workflows using tools, memory, and retrieval is required. Additionally, Python development experience, including API creation, model training, testing, and general backend programming, is essential.
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AWS infrastructure knowledge and familiarity with RAG architectures are desirable but not mandatory. The successful candidate will thrive in a fast-paced environment with multiple priorities, deadlines, and tight timelines. They must possess excellent teamwork and communication skills, be able to convey complex technical concepts clearly, and maintain a focus on delivering high-quality results under pressure.