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!
