Design and maintain scalable, secure and efficient data ingestion pipelines on AWS by collaborating with business stakeholders
Design and maintain vector stores, embedding pipelines, and RAG architecture on AWS for AI-powered applications
Write and maintain clean, reusable and well-documented code for agentic workflows using AWS-native services and serverless architecture
Develop and maintain AI evaluation metrics and guardrails on AWS deployment
Conduct thorough testing, including unit, integration, and end-to-end testing, to ensure correctness and reliability.
Apply strong algorithmic expertise to optimise and evaluate data processing, retrieval, and inference workflows, ensuring high performance and accuracy in AI systems.
Ensure compliance with data governance, security standards, and regulatory requirements
Participate in agile devel...
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