Job Description:
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Design, develop, and maintain scalable backend applications using Java, Spring Boot, and Microservices.
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Build and deploy Generative AI solutions using Python and modern LLM frameworks.
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Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval and intelligent document processing.
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Design and implement RESTful APIs for AI services and enterprise applications.
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Build semantic search solutions using vector embeddings and vector databases.
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Integrate OpenAI, Hugging Face, or similar LLMs into enterprise applications.
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Develop AI-powered chatbots, virtual assistants, and document question-answering systems.
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Create document ingestion pipelines including chunking, embeddings, indexing, and retrieval.
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Collaborate with cross-functional teams to gather requirements and deliver AI-enabled business solutions.
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Optimize AI applications for scalability, performance, and response quality.
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Participate in code reviews, debugging, testing, and deployment activities.
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Follow Agile development practices and contribute throughout the software development lifecycle.
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