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AI/ML Engineer at Spekond Technology
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About this role
About the Company Spekond Technology is building a child developmental assessment platform, powered by advanced AI. We are looking for experienced engineers to help us scale our core AI pipeline and deliver intelligent solutions. Responsibilities Design and build end-to-end AI pipelines for multimodal data processing including video, audio, image, and text. Work on recommendation models, neural networks, and LLMs. Integrate and work with Large Language Models and Vision Language Models for intelligent data extraction and reasoning. Build and maintain RAG pipelines for grounded, context-aware AI outputs. Develop and orchestrate agentic AI workflows for complex multi-step automation. Build recommendation systems and personalization engines based on user behavior and segmentation. Deploy and maintain AI models in production cloud environments with proper monitoring and evaluation. Expose AI capabilities as scalable REST APIs for product integration. Perform exploratory data analysis and derive insights to support product decisions. Collaborate with cross-functional teams to translate requirements into AI solutions. Build evaluation and testing frameworks to ensure model quality, reliability, and safety. Stay current with the latest advancements in LLMs, multimodal AI, and agentic systems. Requirements Generative AI and LLMs: Hands-on experience building RAG pipelines (document processing, chunking strategies, embedding models, vector databases), experience with Vision Language Models, strong prompt engineering skills (system design, few-shot learning, chain-of-thought, structured output), experience with LangChain and LangGraph or similar orchestration frameworks, familiarity with LLM API integration and multi-model pipeline design, understanding of hallucination mitigation and output grounding strategies. Machine Learning and Deep Learning: Strong foundation in NLP (text classification, sequence modeling, transformer-based architectures), experience fine-tuning or wor
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