GenAI Engineer - Engineering Automation (f/m/div.)
As a GenAI Engineer at Bosch, you will design and prototype AI agents that automate engineering workflows such as requirements analysis and failure analysis. You will build RAG pipelines, integrate LLMs with PLM systems, and ensure the agents are reliable, traceable, and safe.
Skills required
About this role
Your contribution to something big:
As a 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.
Your contribution to something big:
- Designing and implementing GenAI agents that support engineering tasks such as requirements analysis, 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.
Qualifications
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
- Understanding of LLM integration patterns, embeddings, and vector stores.
- 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.
Additional Information
Work #LikeABosch means:
⚖️ Flexible work conditions
🔀 Hybrid work system
🌐 Exchange with colleagues around the world
🧑⚕️ Health insurance and medical office on site
📚 Training opportunities
📈 Opportunities for career progression and continuous professional development
💲 Access to great discounts in partnerships and Bosch products
🏋️ Sports and health related activities
🚉 Great access to public transports
🅿️ Free parking lot
🍽️ Canteen
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!
