If you are a Computer Science student looking to break into the rapidly growing fields of Artificial Intelligence, Generative AI, and software automation, the Technology Solutions Intern / Apprentice role at Diebold Nixdorf offers an exciting opportunity. This internship is designed for students who want practical exposure to AI-powered agents, engineering productivity tools, and automation platforms that support real-world hardware R&D environments.
This is not a routine internship focused only on maintenance or documentation. Instead, interns will work on innovative projects involving LLM integrations, AI copilots, backend utilities, automation frameworks, and data-driven engineering workflows. For students interested in Agentic AI, this role provides valuable hands-on experience with emerging technologies that are shaping the future of enterprise software.
About the Company
Diebold Nixdorf is a global leader in financial and retail technology solutions. The company operates in more than 130 countries and employs over 23,000 professionals worldwide. Its products and services help banks, retailers, and enterprises deliver secure and personalized consumer experiences.
Diebold Nixdorf focuses heavily on innovation, automation, and digital transformation. The company combines hardware, software, cloud, and AI technologies to create solutions that power commerce at scale. Interning here gives students exposure to enterprise-grade engineering practices and cutting-edge technology development.
Role Overview
The Technology Solutions Intern / Apprentice position is based in Hyderabad and focuses on building AI-driven software solutions for engineering teams.
As an intern, you will contribute to projects involving:
- AI and GenAI-powered intelligent agents
- Developer productivity platforms
- Automation frameworks for testing and workflows
- Engineering analytics and visualization tools
This role is ideal for students who enjoy coding, problem-solving, and exploring how AI can improve engineering productivity.
Key Responsibilities
During the internship, you may work on the following tasks:
- Design and build AI agent-based applications for engineering use cases
- Develop automation tools for workflows, testing, and data processing
- Write and maintain Python scripts, utilities, and applications
- Integrate Generative AI tools, including LLM APIs and copilots
- Collaborate with hardware, firmware, and system engineering teams
- Support data analysis, visualization, and reporting workflows
- Participate in code reviews, debugging, testing, and documentation
- Improve engineering efficiency using automation and AI solutions
The role combines software engineering with AI implementation, making it highly relevant for future AI product roles.
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Who Can Apply
You are eligible if you are:
- Pursuing B.E / B.Tech in Computer Science Engineering (CSE) or related fields
- Passionate about AI, automation, and software development
- Comfortable learning and working in a collaborative engineering environment
- Interested in solving real-world productivity challenges with software
Students with strong fundamentals and project experience will stand out.
Required Skills
The company is looking for candidates with strong technical fundamentals.
Programming Skills
- Python (mandatory)
- Basic understanding of C / Java / C++
Python is especially important because much of the automation and AI integration work will be built using Python-based frameworks.
Core CS Knowledge
Strong understanding of:
- Data Structures
- Algorithms
- Object-Oriented Programming (OOP)
- Software Design Fundamentals
These fundamentals help in building scalable and maintainable tools.
Preferred Skills
Having these skills can strengthen your application:
AI / ML Knowledge
Basic exposure to:
- Artificial Intelligence
- Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Agent-based systems
Knowledge of concepts like prompt engineering, RAG, and AI agents is a plus.
Backend Development
Exposure to:
- REST APIs
- Backend services
- Flask
- FastAPI
- Basic React
These help when building AI tools with frontend and backend integration.
Tools & Platforms
Familiarity with:
- Git
- SQL / NoSQL databases
- Jenkins / TeamCity / TFS
- JIRA
- Confluence
- SonarQube
- Code coverage tools
Understanding development workflows gives you an advantage.
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Why This Internship Stands Out
Many internships focus only on support work or simple scripting. This one is different because it exposes you to real AI product development inside a global enterprise.
Key benefits include:
- Exposure to enterprise AI use cases
- Experience with LLMs and GenAI integrations
- Cross-functional collaboration with engineering teams
- Practical learning in automation and software development
- Strong resume value for AI-focused careers
With AI becoming central to modern software development, this internship can significantly improve your career trajectory.
Application Tips
To improve your chances of selection:
- Build Python projects showcasing APIs, automation, or AI integrations
- Practice DSA and problem-solving regularly
- Learn FastAPI or Flask for backend development
- Explore LLM APIs such as OpenAI or Anthropic
- Create small AI projects like chatbots, summarizers, or copilots
- Highlight relevant coursework and personal projects in your resume
- Demonstrate curiosity around AI agents and productivity tools
Recruiters often prefer candidates who show practical experimentation, even if through personal projects.
How to Apply:
Apply by clicking the application button below and ensure your resume highlights AI, Python, backend, and automation-related projects.
Disclaimer: This job/internship information is compiled from official or publicly available sources for informational purposes only. We do not charge any fees, guarantee recruitment, or take responsibility for any loss arising from reliance on this information.
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