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GenAI Engineer - Engineering Automation (f/m/div.)

🇵🇹 Portugal

Python

Machine Learning

Design

Data Science

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GenAI Engineer - Engineering Automation (f/m/div.)

from 🇵🇹 Portugal

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. 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 the Bosch Research & Development Center in Braga, more than 350 engineers develop car multimedia solutions and the most innovative localization, perception and safety sensors that are helping to shape connected and autonomous mobility. From hardware to software to physics, we have all kinds of opportunities waiting for you.

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.

As aGenAI 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.

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.

Working Style & Methods: