Senior AI/LLM Engineer

SNI is serving as a trusted IT Outsourcing partner delivering projects worldwide for prestigious clients.

• Advanced proficiency in Python and hands-on experience building LLM applications, RAG pipelines, and agentic systems.
• Direct experience with modern LLM frameworks, specifically LangChain and LangGraph, including prompt and context engineering techniques.
• Strong experience with Microsoft Azure cloud services, Azure OpenAI Service, cloud deployments, and enterprise AI architecture.
• Solid understanding of data architecture principles, vector stores, enterprise data platforms, and data integration patterns.
• Familiarity with evaluating AI agent accuracy, latency tuning, context window optimization, and cost efficiency metrics.

• Design and implement autonomous AI agents and complex agentic workflows tailored to enterprise business use cases.
• Develop AI applications using Python and modern LLM frameworks such as LangChain and LangGraph.
• Design RAG-based architectures leveraging centralized enterprise data from the Unified Data Platform.
• Implement, deploy, and scale production-ready AI solutions on Microsoft Azure and Azure OpenAI Service.
• Optimize AI agent performance, refine evaluation metrics, manage context efficiency, and control cloud operational costs.
• Collaborate with data engineering and architecture teams for integration, scalability, and security compliance.

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