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.

Key Responsibilities:

Key Responsibilities

• Advanced RAG Implementation Implement and optimize sophisticated Agentic RAG and standard RAG pipelines with a strong focus on advanced Prompt Context Engineering to ensure agents receive precise relevant and high-quality information
• Design Build Agentic Systems Design develop and deploy autonomous multi agent systems using frameworks like crew ai to solve complex business problems
• Agent to Agent A2A Communication Implement and refine A2A protocols to allow for complex collaborative task execution between multiple AI agents
• Develop MCP Connectors Build test and maintain MCP Connectors to enable our AI agents to interact seamlessly with critical data sources including

o Microsoft Spreadsheets

o Databricks Lakehouse

o Postgres databases

5. Backend API Development Create robust and scalable REST APIs to serve as the backbone for our AI bots and applications ensuring reliable communication and integration

6. Cloud Deployment Enable deployment management and monitoring of AI applications within our cloud environment specifically Open Telekom Cloud OTC

7. AI Powered Development Utilize modern AI coding assistants like GitHub Copilot AI Engineer as a core part of your daily workflow to write debug and optimize code efficiently.

Required Qualifications Skills

1. Backend Expertise Proven experience as a backend developer e g Python Node js with a strong portfolio of building and deploying applications in a cloud environment

2. Expertise in RAG Deep hands on experience designing and building both traditional RAG and advanced Agentic RAG systems from the ground up

3. Agentic Frameworks Demonstrable hands on experience building multi agent systems using crew ai or similar frameworks e g LangGraph llamaindex

4. API Integration Expertise in developing and consuming REST APIs and integrating various third-party services.

5. Data Connectivity Strong understanding of data integration patterns and experience connecting to and managing data in relational databases Postgres and data lakes Databricks

6. Modern Dev Tools High proficiency and daily use of AI coding tools like GitHub Copilot or AI Engineer

7. A problem-solving mindset with a passion for staying on the absolute cutting edge of Generative AI

Preferred Qualifications Bonus Points

1. Direct experience with Open Telekom Cloud OTC

2. A deep understanding of the theoretical concepts behind MCP and A2A communication

3. Familiarity with the challenges of productionizing LLM and agentic applications e g evaluation monitoring security

4. Contributions to open-source AI or agentic focused projects

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