[BD] AI Engineer Intern (AI-Native Global Product | Agentic AI | Real-World Enterprise Systems) - 6-month Internship

The Bosch Group is a leading global supplier of technology and services. Since the beginning of 2013, its operations have been divided into four business sectors: Automotive Technology, Industrial Technology, Consumer Goods, and Energy and Building Technology.

The Bosch Group comprises Robert Bosch GmbH and its roughly 360 subsidiaries and regional companies in some 50 countries. If its sales and service partners are included, then Bosch is represented in roughly 150 countries. This worldwide development, manufacturing, and sales network is the foundation for further growth.

Bosch Global Software Technologies Company Limited (BGSV) is 100% owned subsidiary of Robert Bosch GmbH - one of the world’s leading global suppliers of technology and services, offering end-to-end Engineering, IT, and Business Solutions.

Starting its operation from 2010 at Etown 2 in HCMC, BGSV is the first software development center of Bosch in Southeast Asia. BGSV nowadays have over 4,000 associates, with a global footprint and presence in the US, Europe, and the Asia Pacific region.

With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.

Build Real-World AI Systems at Enterprise Scale

Join Bosch Vietnam’s Global Product & Service organization to help build next-generation AI-native workflow platforms used by 500,000+ users worldwide. Built on advanced Low-Code / No-Code technologies and accelerated with Generative AI, our platform is evolving into an intelligent enterprise system capable of generating workflows, business logic, and integrations at scale.

We are looking for highly motivated AI Engineer Interns who are passionate about AI Engineering, Software Engineering, and real-world problem solving. This is not a research-only internship — you will work on practical AI systems, enterprise workflows, validation engineering, and AI-assisted software generation in real product environments.

What You Will Do (Learning by Doing)

AI Engineering & Validation

• Support development and improvement of Generative AI and agentic AI systems
• Validate AI-generated workflows, business logic, UI behaviors, and integrations
• Analyze edge cases, system behaviors, and AI output accuracy
• Design and execute validation strategies to improve reliability and quality

Software & Product Engineering

• Work with Product, Engineering, QA, and domain experts to understand real business workflows
• Deep dive into legacy systems and compare AI-generated outputs with existing implementations
• Support prompt engineering, system tuning, and AI-assisted development activities
• Contribute to automation, testing, monitoring, and optimization initiatives

Learning & Innovation

• Explore modern AI engineering practices, enterprise architectures, and workflow platforms
• Gain exposure to CI/CD, MLOps concepts, cloud environments, and AI product delivery
• Collaborate with global teams in Agile product development environments

Must-Have

• Final-year or senior student in Computer Science, Software Engineering, AI, Data Science, or related fields
• University recommendation/introduction letter for a 6-month internship is mandatory
• Good foundation in software engineering and AI/ML concepts
• Proficiency in Python and basic understanding of LLM or Generative AI frameworks
• Familiarity with APIs, JSON, and software integration concepts
• Strong logical thinking, analytical skills, and problem-solving mindset
• Good English communication skills
• Proactive, curious, and eager-to-learn attitude

Nice-to-Have

• Exposure to cloud platforms (AWS, Azure, or GCP)
• Familiarity with Docker, Git, CI/CD, or MLOps concepts
• Experience with AI-assisted coding tools, automation, or AI-related projects
• GitHub, portfolio, or hands-on AI/software engineering projects

How to Apply - please submit:

• Your CV
• Motivation Letter (maximum 1 page):
  • Why are you interested in real-world AI Engineering?
  • What AI/software projects have you built, tested, or contributed to?
• Short written response:
  • “How would you improve reliability and accuracy for AI-generated applications in enterprise environments?”
• Optional: GitHub, portfolio, demos, or AI-related projects

WHY BOSCH?

Because we do not just follow trends, we create …