AI Engineering Automation Intern (f/m/div.)

BOSC; Aveiro; On-site; EUR 42,000 - 66,000; Full time

Job summary

Bosch Service Solutions S.A. seeks a software-focused AI engineer to develop AI-powered engineering assistants and coding companions for firmware and hardware teams in Aveiro.

You will help engineers create automation scripts and improve data analysis workflows. The role emphasizes experimenting with LLMs, prompt engineering, and tool calls, connecting Python, APIs and n8n to streamline development and deliver practical tools across engineering disciplines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
• Academic or personal projects involving programming, AI, software development, or automation.
• Practical experience is welcome, but professional experience is not required.

Responsibilities

• Develop AI-powered engineering assistants and coding companions for firmware and hardware teams.
• Automate engineering workflows by connecting LLMs, Python scripts, APIs and tools like n8n.
• Experiment with LLMs, prompt engineering, tool calling and AI agents to tailor solutions.
• Integrate engineering knowledge from documentation and repositories to aid users.
• Validate prototypes with engineers and refine them into practical tools.

Skills

Python programming

Generative AI

AI agents

English communication

Analytical thinking

Curiosity

Education

Bachelor's or Master's in CS/Software Engineering/AI

Tools

Git

n8n

APIs

AI development tools

Embedded software interest

Job description

• Full-time
• Legal Entity: Bosch Service Solutions S.A.

Company Description

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.

Job Description

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.

Qualifications

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.

Additional Information

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.