Extracurricular Internship – DevOps & GenAI Engineer for Quality (f/m/div.)

Description

The team builds AI agents that support quality engineering work across the company, from design and prototyping through to implementation.

The role turns complex engineering problems into GenAI solutions that are intelligent, dependable and compliant, with the aim of speeding up innovation.

You look for places where generative and agentic AI can improve quality engineering standards, tools and the analysis of manufacturing quality data.

The company is part of the automotive electronics division of a large group, and works on making vehicles a third living space.

The company has about 3,600 associates who develop and produce mobility technology.

Responsibilities

• Design and build GenAI agents for quality engineering tasks such as requirements analysis, data and documentation support, test interpretation and failure analysis.
• Build AI pipelines that combine LLMs, embeddings, vector databases and domain knowledge sources.
• Develop retrieval augmented generation (RAG) pipelines for structured and semi-structured engineering data.
• Connect AI agents to engineering tools, databases and repositories such as PLM systems, test data platforms and document stores.
• Make sure agents are reliable, traceable and behave safely in regulated engineering settings.
• Work with domain experts to assess usability, performance and fit for purpose.
• Write documentation covering architectures, APIs, integration points and operating guidelines.
• Work closely with security and compliance teams so that AI use is responsible and compliant.

Requirements

• Degree in computer science, engineering, data science or a comparable field.
• Experience with GenAI development, agent orchestration or AI-assisted tooling.
• Solid software engineering background, ideally in Python, with experience of APIs and microservices.
• Familiarity with structured and semi-structured data such as JSON, PDFs and engineering documentation.
• Good understanding of LLM integration patterns, embeddings, vector stores and RAG architectures.
• Knowledge of agent frameworks such as LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm or MCP.
• Proficient English. German is a plus.
• Structured, reliable and solution-oriented way of working.
• Able to collaborate with cross-functional engineering teams and comfortable with iterative, experimental work.
• Curious, proactive and keen to explore new technologies.
• Strong communication skills and a collaborative mindset, open to learning from diverse teams and perspectives.
• Nice to have: experience with MLOps, AI observability, evaluation frameworks or model deployment.
• Nice to have: familiarity with PLM systems, engineering workflows or compliance standards in automotive or industrial settings.

Conditions

Hybrid work model.

The company offers a medical office with psychology and general clinic services, and a social services office, on site.

Free transport from Porto, free parking and a canteen.

Good public transport access.

Equal opportunity statement: applications from people with disabilities are welcome, and reasonable accommodations are available during recruitment and in the role.

Benefits

• Training opportunities, including technical training and foreign language courses.
• Continuous professional development.
• Discounts through partner offers and Bosch products.
• Sports and health activities.
• Exchange with colleagues around the world.