Extracurricular Internship AI-Assisted Software Engineering Intern (fmdiv.)

Your contribution to something big:

Join us in shaping the future of software engineering through Generative AI. As an AI-Assisted Software Engineering Intern you will contribute to the development of innovative AI-powered solutions that support software engineers throughout the Software Development Life Cycle (SDLC). Working alongside experienced engineers you will research prototype and evaluate technologies that help improve development efficiency software quality and developer experience.

In this role you will:

• Research emerging AI-assisted software engineering workflows and identify opportunities to apply Generative AI across the SDLC.
• Design and develop automated solutions using LLM APIs prompt engineering Retrieval-Augmented Generation (RAG) AI agents and context-window optimization techniques.
• Support the integration of AI-powered tools into software development workflows CI/CD pipelines and cloud environments.
• Define and implement metrics to evaluate the impact of AI solutions on productivity software quality usability and adoption.
• Collaborate with software engineers to gather feedback validate concepts and continuously improve developed solutions.
• Contribute through code reviews technical documentation demonstrations and knowledge-sharing activities.
• Explore and evaluate emerging AI technologies and translate them into practical developer tools.

Qualifications :

What distinguishes you

Education:

• Final-year Bachelors or Masters student or recent graduate (less than one year) in Software Engineering Computer Engineering Computer Science Artificial Intelligence or a related field.

Experience:

• Initial academic personal or internship experience in software development or AI-related projects.
• Exposure to Generative AI technologies and modern software development practices is advantageous.

Know-how:

• Knowledge of Python programming; experience with C or C is a plus.
• Familiarity with some of the following areas: LLM APIs prompt engineering Retrieval-Augmented Generation (RAG) AI agents CI/CD pipelines cloud platforms or AI-assisted development tools.
• Understanding of software development processes and developer workflows.

Languages:

• Good communication skills in English both written and spoken.

Working Style and Methods:

• Structured and analytical approach to problem-solving.
• Ability to learn independently and experiment with new technologies.
• Interest in transforming innovative AI concepts into practical engineering solutions.

Personality:

• Curious proactive and eager to learn.
• Collaborative team player with strong communication skills.
• Passionate about software engineering emerging technologies and continuous improvement.

What you can expect to learn

• How Generative AI can enhance software engineering activities across the Software Development Life Cycle.
• How to design build and integrate AI-powered developer tools using LLMs RAG AI agents cloud services and CI/CD platforms.
• How to measure the impact of AI solutions through meaningful metrics and developer-centric evaluations.
• How to bring innovative ideas from research and prototyping to adoption in real-world software development environments.
• How AI-driven engineering practices are applied in an international industrial environment.

At Bosch we value diversity and equal opportunities. We welcome applications from candidates of all backgrounds experiences and perspectives.

Additional Information :

Work #LikeABosch means:

Flexible work conditions

Hybrid work system

Exchange with colleagues around the world

Health insurance and medical office on site

Training opportunities

Opportunities for career progression and continuous professional development

Access to great discounts in partnerships and Bosch products

Sports and health related activities

Great access to public transports

Free parking lot

Canteen

Success stories dont just happen. They are made...

Make it happen! We are looking forward to your application!

Remote Work :

No

Employment Type :

Intern