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

Boschgroup; Braga; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work system

Training opportunities

Medical office & Social Services on‑s​

Free transport from Porto

Job summary

Boschgroup is seeking a Quality GenAI Engineer to design, prototype, and implement AI agents that support engineering workflows across Bosch. You translate complex engineering use cases into intelligent, reliable GenAI solutions that accelerate innovation.

You will build AI pipelines using LLMs, embeddings, vector stores, and RAG architectures; integrate agents with PLM systems and engineering data; ensure safety, compliance, and traceability in regulated environments; collaborate with domain

Qualifications

• Degree or equivalent in Computer Science, Engineering, Data Science, or a related field.
• Experience with GenAI development, agent orchestration, or AI-assisted tooling.
• Solid software engineering background (Python preferred; APIs and microservices).
• Familiarity with structured and semi-structured data formats (JSON, PDFs, engineering docs).

Responsibilities

• Design, prototype, and implement GenAI agents to support engineering workflows.
• Build AI pipelines using LLMs, embeddings, vector databases, and domain knowledge sources.
• Integrate AI agents with engineering tools, databases, and repositories (PLM systems, test data platforms, document repos).
• Develop Retrieval Augmented Generation (RAG) pipelines for structured data.
• Ensure agent reliability, traceability, and safe behavior in regulated environments.
• Collaborate with domain experts to evaluate usability, performance and fit.
• Document architectures, APIs, integration points, and operational guidelines.
• Work with security and compliance teams to ensure responsible AI usage.

Skills

GenAI development

Agent orchestration

Python

APIs & microservices

LLM integration

Embeddings

Vector stores

RAG architectures

LangChain

OpenAI Agents

CrewAI

MLOps

AI observability

PLM systems

Compliance standards

Education

Degree in Computer Science, Engineering, Data Science, or a comparable field

Tools

LangChain

LlamaIndex

OpenAI Agents

CrewAI

Swarm

MLOps

Job description

Your contribution to something big: As a Quality GenAI Engineer, you design, prototype, and implement AI agents that support engineering workflows across Bosch. You translate complex engineering use cases into intelligent, reliable, and compliant GenAI solutions that accelerate innovation.

• Identify opportunities where Generative AI and Agentic AI can drive impact on Quality Engineering standards, tools and corresponding data analysis of manufacturing Quality.
• Designing and implementing GenAI agents that support Quality Engineering tasks such as requirements analysis, data and documentation assistance, test interpretation, and failure analysis.
• Building AI pipelines using LLMs, embeddings, vector databases, and domain specific knowledge sources.
• Integrating AI agents with engineering tools, databases, and repositories (e.g., PLM systems, test data platforms, document repositories).
• Developing Retrieval Augmented Generation (RAG) pipelines for structured and semi structured engineering data.
• Ensuring agent reliability, traceability, and safe behavior in regulated engineering environments.
• Collaborating with domain experts to evaluate usability, performance, and fit for purpose.
• Documenting architectures, APIs, integration points, and operational guidelines.
• Working closely with security and compliance teams to ensure responsible and compliant AI usage.

What distinguishes you:

Education

• Degree in Computer Science, Engineering, Data Science, or a comparable field.

Experience

• Experience in GenAI development, agent orchestration, or AI assisted tooling.
• Solid software engineering background (Python preferred; experience with APIs and microservices).
• Familiarity with structured and semi structured data formats (JSON, PDFs, engineering documentation, etc.).

Know how

• Good understanding of LLM integration patterns, embeddings, vector stores and RAG architectures
• Knowledge of agent frameworks (e.g., LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm, MCP).
• 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/industrial environments.

Languages

• Proficient in English; German is a plus.
• Working Style & Methods
• Structured, reliable, and solution oriented working style.
• Ability to collaborate with cross functional engineering teams.
• Comfortable working in iterative, experimental environments.

Personality

• Curious, proactive, and eager to explore new technologies.
• Strong communication skills and a collaborative mindset.
• Open to learning and working with diverse teams and perspectives

Work #LikeABosch includes:

• Hybrid work system
• Exchange with colleagues around the world
• Medical office (psychology and general clinic) & Social Services Office on site
• Training opportunities (p.e., technical training, foreign languages training)
• Continuous professional development
• Access to great discounts in partnerships and Bosch products
• Sports and health related activities
• Great access to public transports
• Free transport from Porto
• Free parking lot
• Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!