Senior AI/LLM Engineer

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Responsibilities:

• Design and implement autonomous AI agents and complex agentic workflows tailored to specific enterprise business use cases.
• Develop AI applications using Python and modern LLM frameworks such as LangChain and LangGraph.
• Design RAG-based architectures that leverage 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.
• Partner with data engineering and architecture teams to ensure seamless integration, high scalability, and security compliance.

Skills:

• 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, along with 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.

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