AI Software Engineer - Internship (f/m/div.)

Lisboa, Lisboa, ptIntern

Company Description

Welcome to Bosch

Cars drive autonomously, machines speak to each other, and houses become smarter. At Bosch, we turn these visions into reality to improve the quality of life for people all over the world. Start something big and become a part of forward thinkers where you can create something remarkable: Invented for life.

With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization.

Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers. Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide.

Job Description

As a trainee you will support the development of AI-driven internal platforms focused on automation, developer productivity, and intelligent business solutions. Working closely with experienced engineers, you will contribute to the design, implementation, testing, and deployment of AI-powered applications and backend services.

You will gain hands-on experience developing software with Python, Go, and Elixir, integrating Large Language Models into production systems, building AI agents using Google's Agent Development Kit (ADK), and working with cloud-native technologies and microservice architectures.

Key Responsibilities

Assist in developing and maintaining backend and frontend services using Go (Golang), Elixir and React.
Contribute to the development of AI-powered applications and internal developer tools.
Develop AI agents and agentic workflows using Google's Agent Development Kit (ADK) and similar frameworks.
Assist in designing, maintaining and improving prompt engineering techniques and (RAG, Graph RAG and KBs) workflows.
Develop and maintain REST APIs and microservices.
Assist with deploying and maintaining applications in Kubernetes environments using Helm and modern CI/CD practices.
Write clean, maintainable, and well-documented code following software engineering best practices.
Create and maintain technical documentation for applications, AI components, and system architecture.
Collaborate with cross-functional teams to design, implement, and enhance new features.
Stay up to date with emerging trends in Artificial Intelligence, Generative AI, and software engineering.

Qualifications

Education

Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field.

Technical Skills

Required Skills

Experience programming in Python, Go (Golang), Elixir, or another modern programming language, with a willingness to learn new technologies.
Basic understanding of software engineering principles and software design.
Familiarity with REST APIs and backend development concepts.
Knowledge of Git and collaborative development workflows.
Understanding of data structures, algorithms, and programming fundamentals.
Strong interest in Artificial Intelligence, Generative AI, and modern software development.

Preferred Skills

Familiarity with Large Language Models (e.g., GPT, Gemini, Claude, Llama, or similar).
Basic understanding of prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent architectures.
Interest in developing AI agents using Google's Agent Development Kit (ADK) or similar agentic AI frameworks.
Familiarity with microservice architectures and event-driven systems.
Basic knowledge of PostgreSQL or MySQL.
Familiarity with Docker, Kubernetes, and containerized applications.
Exposure to cloud platforms such as Google Cloud Platform (preferred), Azure, or AWS.
Basic knowledge of frontend technologies such as React, JavaScript, HTML, and CSS is a plus.

Nice to Have

Personal, academic, or open-source projects involving AI or software engineering.
Experience using GitHub in collaborative projects.
Familiarity with CI/CD concepts and modern development workflows.
Interest in developer tools, automation, and AI-powered productivity solutions.

Soft Skills