We are looking for a motivated AI Software Engineer Intern to join our team and contribute to Artificial Intelligence projects supporting our engineering and R&D activities. You will work alongside experienced software and AI engineers on real-world applications involving Generative AI, Large Language Models (LLMs) and enterprise software development. This position is intended for a student with good programming fundamentals who wants to develop practical experience in AI software engineering. Rather than focusing only on theoretical AI or Machine Learning, you will learn how modern AI capabilities can be integrated into actual software applications and used to solve engineering and business problems. We do not expect a student to already be an AI expert. We are primarily looking for someone with solid programming foundations, technical curiosity and a genuine interest in Artificial Intelligence. The ideal candidate enjoys building and understanding software, is willing to experiment and learn, and is interested in discovering how Generative AI can be used in real engineering applications. The position will provide practical experience across different aspects of AI software development, from initial experimentation and prototyping to integration with existing applications and enterprise data. Over time, the successful candidate will be encouraged to become increasingly autonomous and take responsibility for more complex AI development tasks.
Contribute to AI Application Development
- Participate in the development of applications and services leveraging Large Language Models and Generative AI.
- Build prototypes to explore and validate new AI use cases.
- Experiment with different models and prompting approaches.
- Integrate AI models into applications using APIs and SDKs.
- Contribute to solutions using internal documents and enterprise data.
- Participate in the development of Retrieval-Augmented Generation (RAG) solutions.
Help test and improve existing AI applications.
Develop Software
- Develop scripts and application components primarily using Python and/or C#/.NET.
- Contribute to backend services and APIs.
- Work with databases and other data sources when required by the project.
- Learn how AI capabilities are integrated into existing enterprise applications.
- Write understandable, maintainable and documented code.
Investigate technical issues with support from experienced engineers.
Learn and Experiment with Generative AI
- Gain practical experience with Microsoft Azure AI services and Azure AI Foundry.
- Learn how Large Language Models work from an application developer's perspective.
- Develop an understanding of concepts such as prompts, tokens, context windows, embeddings and vector search.
- Experiment with RAG and other approaches for providing enterprise knowledge to AI models.
- Compare different AI models and approaches.
- Learn to consider quality, reliability, latency and cost when using AI services.
Explore emerging AI technologies and evaluate their potential for practical use cases.
Collaborate with the Team
- Work with experienced software engineers and technical experts.
- Participate in technical discussions and project activities.
- Document experiments, technical findings and developed solutions.
- Present results and explain technical choices clearly.
- Share ideas and contribute to the exploration of new AI use cases.
- Gradually take ownership of development tasks as your skills and experience grow.
You have:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence or a related technical field.
- Good programming fundamentals.
- Practical programming experience with Python, C#, Java or another modern programming language, acquired through university projects, personal projects, internships or professional experience.
- Basic understanding of software development concepts.
- Interest in Artificial Intelligence, Generative AI and Large Language Models.
- Basic understanding of APIs and how software applications communicate with external services.
- Ability to investigate technical problems and learn independently.
- Curiosity and willingness to experiment with new technologies.
- Good communication and collaboration skills.
- Good working proficiency in English.
- Academic projects, personal projects and open-source contributions are considered relevant experience.
Nice if you have:
While not required, the following skills and experiences would be considered an advantage. We do not expect candidates to possess all of these qualifications:
- Experience with Python for AI-related projects.
- Knowledge of C#/.NET or ASP.NET Core.
- Previous experience using an LLM API or AI SDK.
- Personal or academic projects involving Generative AI.
- Familiarity with Microsoft Azure or another cloud platform.
- Basic understanding of RAG, embeddings or vector search.
- Experience with SQL or relational databases.
- Experience developing REST APIs or backend applications.
- Familiarity with Git or another version-control system.
- Knowledge of Machine Learning fundamentals.
- Experience with AI-assisted development tools.
- Fluency in Italian
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
- Flexible and hybrid working schemes
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Skills Required
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field
- Good programming fundamentals
- Practical programming experience with Python, C#, Java, or another modern programming language
- Basic understanding of software development concepts
- Interest in Artificial Intelligence, Generative AI, and Large Language Models
- Basic understanding of APIs and how software applications communicate with external services
- Ability to investigate technical problems and learn independently
- Curiosity and willingness to experiment with new technologies
- Good communication and collaboration skills
- Good working proficiency in English
- Experience with Python for AI-related projects
- Knowledge of C#/.NET or ASP.NET Core
- Previous experience using an LLM API or AI SDK
- Personal or academic projects involving Generative AI
- Familiarity with Microsoft Azure or another cloud platform
- Basic understanding of RAG, embeddings, or vector search
- Experience with SQL or relational databases
- Experience developing REST APIs or backend applications
- Familiarity with Git or another version-control system
- Knowledge of Machine Learning fundamentals
- Experience with AI-assisted development tools
- Fluency in Italian
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
