INTERNSHIP DETAILS

Extracurricular Internship: AI-Assisted Software Engineering Intern (f/m/div.)

CompanyBosch Group
LocationOvar
Work ModeOn Site
PostedOctober 20, 2026
Internship Information
Core Responsibilities
The intern will research, prototype, and develop AI-powered solutions to enhance software engineering workflows across the development life cycle. They will collaborate with experienced engineers to integrate these tools into CI/CD pipelines and evaluate their impact on productivity and software quality.
Internship Type
intern
Company Size
167903
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Bosch Group is a leading global supplier of technology and services. It employs roughly 413,000 associates worldwide (as of December 31, 2025). The company generated sales of 91 billion euros in 2025. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 500 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 82,000 associates in research and development. Instagram: https://www.instagram.com/boschglobal/ Facebook: https://www.facebook.com/BoschGlobal Glassdoor: https://bit.ly/3raTZnH Imprint: www.bosch.com/corporate-information Privacy statement: https://www.bosch.com/data-protection-notice-bosch-linkedin/
About the Role

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market. 

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

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 Bachelor's or Master's 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 don´t just happen. They are made...

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

  • Legal Entity: Bosch Service Solutions S.A.
  • Key Skills
    PythonCC++Generative AILLM APIsPrompt engineeringRetrieval-Augmented GenerationAI agentsCI/CD pipelinesCloud platformsSoftware developmentSoftware engineeringAnalytical problem-solvingTechnical documentationCommunication skills
    Categories
    TechnologySoftwareEngineeringData & AnalyticsManufacturing
    Benefits
    Flexible work conditionsHybrid work systemHealth insuranceMedical office on siteTraining opportunitiesCareer progressionDiscounts in partnershipsSports and health related activitiesPublic transport accessFree parking lotCanteen