AI Engineer

Company Introduction – T-Systems ICT India Pvt. Ltd.

T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work®, proudly recognized for its strong people-first culture and commitment to employee excellence.

As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide. T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector.

For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity. With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability—empowering organizations to unlock their full digital potential. With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe’s foremost digital transformation partners, committed to shaping the future of enterprise technology.

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

Key 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

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