AI Engineering Automation Intern (f/m/div.)
At a glance
Junior AI Engineering role at Bosch Group. São João · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Create chatbots that help hardware and mechanical engineers write and improve Python for automation and data analysis
- Build AI agents to assist firmware developers with code, debugging, documentation and test creation
- Link LLMs, Python scripts, APIs and tools such as n8n to automate engineering workflows
- Use technical documents and software repositories to give assistants relevant engineering context
- Try prototypes with engineers, assess their usefulness and improve them into dependable tools
What you bring
- You are pursuing or hold a bachelor's or master's degree in computer science, software engineering, AI or a related technical field
- You can program in Python at a basic level and understand software development fundamentals
- You bring programming, AI, software development or automation experience through academic or personal projects
- You communicate well in written and spoken English
Who this fits
This junior internship suits someone curious about practical AI who enjoys experimenting, solving problems methodically and building tools around users’ needs. You’ll collaborate with firmware, hardware and mechanical engineers. The role is based in São João and is hybrid.
From the employer
Welcome to Bosch
We make cyclists smile!
Join our eBike Software Development team and help bring Artificial Intelligence into everyday engineering. Working closely with firmware, hardware, and mechanical engineers, you will turn real engineering challenges into AI-powered tools that simplify development, automate repetitive tasks, and improve engineering workflows.
In this role, you will:
Develop AI-powered engineering assistants: Build chatbots that help hardware and mechanical engineers create and improve Python scripts for automation and data analysis.
Build AI coding companions: Develop AI agents that support firmware developers throughout the software development lifecycle, from code understanding and implementation to debugging, documentation, and test generation.
Automate engineering workflows: Connect LLMs, Python scripts, APIs, and tools such as n8n to streamline engineering processes.
Explore AI technologies: Experiment with LLMs, prompt engineering, tool calling, and AI agents to develop solutions tailored to engineering needs.
Integrate engineering knowledge: Leverage technical documentation and software repositories to provide context-aware assistance.
Validate and improve solutions: Test prototypes with engineers, evaluate their effectiveness, and refine them into reliable, practical tools.
What distinguishes you?
Education
Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
Experience
Academic or personal projects involving programming, AI, software development, or automation.
Practical experience is welcome, but professional experience is not required.
Know-how
Basic Python programming skills and understanding of software development fundamentals.
Interest in Generative AI, LLMs, AI agents, and AI-assisted software development.
Familiarity with APIs, Git, n8n, and AI development tools is an advantage.
Interest in embedded software development is a plus.
Languages
Good written and spoken English skills for collaboration in an international engineering environment.
Working Style and Methods
Analytical and structured approach to problem-solving.
Willingness to experiment with new technologies and turn ideas into practical solutions.
Ability to understand user needs and translate them into useful tools.
Personality
Curious, proactive, and enthusiastic about the practical applications of AI.
Hands-on, creative, and open to learning.
Collaborative and comfortable working with colleagues from different engineering disciplines.
What you can expect to learn
How to apply Generative AI and AI agents to real-world engineering and firmware development challenges.
How to build AI-powered assistants and automate workflows using LLMs, Python, APIs, and tools such as n8n.
How to integrate AI into software development and empower engineers across different disciplines through intelligent tools.
How to evaluate, improve, and turn AI prototypes into reliable solutions used by an engineering team.
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!
AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
AI Engineering
Find me workBy the team behind aimlroles.