AI Engineer

Responsibilities

• Design and develop AI and machine learning solutions using Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms
• Build AI-driven applications including chatbots, copilots, intelligent agents, and automation tools
• Integrate AI models with enterprise systems, APIs, databases, and workflows
• Implement advanced techniques including prompt engineering, Retrieval Augmented Generation (RAG), and vector search capabilities
• Develop and deploy AI services using cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP)
• Leverage frameworks and tools including LangChain, LangGraph, and Databricks for AI development and deployment
• Please Note: Fraudulent job postings/job scams are increasingly common. Beware of misleading advertisements and fraudulent communication issuing 'offer letters' on behalf of T-Systems in exchange for a fee. Please look for an authentic T-Systems email id - XYZ@t-systems.com .
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Additional Information

Role Summary We are seeking an experienced AI Engineer to design, build, and deploy AI-powered solutions that automate workflows, enhance decision-making, and integrate seamlessly with enterprise systems. This role involves working with Large Language Models (LLMs), APIs, data pipelines, and cloud platforms to deliver production-grade AI applications. Experience required 7-10 years

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