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

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.
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.

Employment type
Full-time

Work arrangement
Hybrid