Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market. 

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

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 includes:

⚖️ Flexible work conditions