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Junior AI Software Engineer (f/m/div.)

Robert Bosch Sp. z o.o. Lisbon | Braga, Португалія
Повна зайнятість Робота на місці

Дата публікації: 04.09.2026

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.

The Bosch unit in Ovar belongs to the Building Technologies division and is focused on bringing solutions to the market that are shaping the smart cities of the future. The company develops and produces innovative solutions for security and communication systems, fire alarms and electronic displays. With about 700 employees, its success lies in the highly specialized and innovative team and technological know-how.

Bosch’s ADAS division is strengthening its internal technology steering capabilities to support

strategic decision-making and accelerate innovation. The project aims to build and operate an

internal platform used by the division’s top management to track technological developments,

assess risks and opportunities, and guide long-term product and R&D direction.

In parallel, the team is developing a next-generation AI Agent platform, leveraging state-of-the-art

technologies to enhance decision support, automate knowledge discovery, and improve the

efficiency of internal processes.

You will join a multi-disciplinary team responsible for shaping and maintaining these critical

platforms, ensuring they are reliable, scalable, and aligned with the division’s technology strategy.

Your work will directly contribute to how Bosch ADAS defines priorities, drives innovation, and

delivers advanced driver assistance solutions for the future of mobility.

Education

• MSc or Ph.D. in Computer Science, Software Engineering or a related field.

Soft Skills

- Problem-solving: Strong analytical and debugging skills
- Communication: Ability to collaborate effectively with team members and document
- technical work
- Learning Agility: Demonstrated track record of quickly learning new technologies and
- frameworks

Languages

- Fluent in Portuguese and English, written and spoken

Responsibilities

Develop, maintain, and enhance code in a microservice architecture; Write clean, efficient, and well-documented code following best practices; Create and maintain comprehensive technical documentation for all code and systems; Write and maintain unit tests to ensure code quality and reliability; Deploy code to production environments (Kubernetes + Helm) using modern CI/CD practices; Participate in code reviews and provide constructive feedback to team members; Debug and troubleshoot issues across the application stack; Collaborate with cross-functional teams to design and implement new features; Monitor application performance and optimize code for scalability; Stay current with emerging technologies and industry trends

Requirements

Programming Languages: Strong experience with C and/or Python; Go (Golang): Either current proficiency in Go , or demonstrated ability and willingness to learn Go; APIs: Experience building and testing REST APIs; Database Experience: Working knowledge of PostgreSQL or MySQL; AI/ML Experience: Interest or hands-on experience with AI, Machine Learning, Deep Learning, generative AI technologies (including prompt engineering), or working with/integrating Large Language Models such as GPT, Claude, or similar models.; AI Frameworks: Knowledge of TensorFlow, PyTorch, Hugging Face, LangChain, or similar frameworks; Cloud Platforms: Familiarity with AWS or Azure; CI/CD: Experience with common CI/CD tools

Nice to have

UI Development: Basic knowledge of React or willingness to learn frontend development (UI Testing is a plus); Modern Web Technologies: Familiarity with JavaScript/TypeScript, HTML, and CSS; Container Orchestration: Familiarity with Kubernetes or containerization technologies; Version Control: Experience with Git and collaborative development workflows
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