
Senior AI Integration Specialist
1 day ago
We are looking for a passionate and motivated individual to join our team in building a cutting-edge AI-powered application for UI interface integration. You will play a critical role in implementing and optimizing Retrieval-Augmented Generation (RAG) pipelines, enabling our app to deliver accurate, reliable, and contextual responses using both generative AI and curated datasets.
Key Responsibilities:
- Assist in developing RAG-based workflows to enable contextual understanding of data.
- Integrate Large Language Models with vector databases and retrieval systems.
- Preprocess, clean, and structure documents, research papers, and datasets.
- Collaborate with data scientists and domain experts to fine-tune AI models for quality assurance.
- Build prototypes and proof-of-concept apps demonstrating Gen AI-powered query resolution.
- Contribute to the evaluation and testing of AI outputs for accuracy, relevance, and safety.
- Stay up-to-date with the latest advancements in Gen AI, Natural Language Processing, and healthcare AI ethics.
Required Skills & Qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Solid understanding of Gen AI concepts and Large Language Model architectures.
- Familiarity with RAG pipelines, vector embeddings, and tools like FAISS, Pinecone, or Weaviate.
- Programming knowledge in Python and experience with Hugging Face, LangChain, or LlamaIndex.
- Basic understanding of REST APIs, JSON, and data preprocessing techniques.
- Awareness of ethical considerations and data sensitivity in medical applications.
- Good communication skills and ability to work in a collaborative environment.
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