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We are seeking a Senior AI Engineer to design and deploy Agentic and Generative AI solutions that automate and optimize complex business processes. The successful candidate will transition innovative prototypes into scalable, production-grade applications, driving efficiency through advanced AI orchestration and autonomous system design.
Job Responsibility:
Develop and optimize RAG pipelines and multi-agent systems to facilitate autonomous decision-making and collaboration
Utilize Model Context Protocol (MCP) and Python to integrate AI models with external systems and Master Data Management (MDM) platforms
Build and maintain CI/CD pipelines via Azure AI Foundry for model training, testing, and real-time performance monitoring
Collaborate with stakeholders to translate business requirements into technical AI use cases, including automated visual inspection and financial reporting
Ensure all solutions adhere to enterprise standards for security, data privacy, and Ethical AI
Requirements:
Mastery of Python
Professional proficiency in LangChain for orchestration and PyTorch for model development/fine-tuning
Expert-level prompt engineering and experience in refining LLM performance for enterprise applications
Proven experience deploying scalable AI solutions on cloud platforms, specifically Azure or AWS
Strong understanding of feature engineering, data management, and automated visualization techniques