GenAI Engineer - AI Agents & Engineering Workflows

Bosch Car Multimedia, S.A. is looking for a GenAI Engineer to design, prototype and implement AI agents that enhance and automate engineering workflows across Bosch. The Bosch Group has more than 400,000 employees worldwide, is present in 60 countries and works to develop high-quality technologies and services that enrich people’s lives and contribute to a more sustainable future. Bosch Car Multimedia belongs to the Automotive Electronics division and focuses on making vehicles the third living space. Around 3,600 associates develop and produce high-quality technology that shapes change in mobility worldwide. Role overview: As a GenAI Engineer, you will translate complex engineering use cases into intelligent, reliable and compliant GenAI solutions that accelerate innovation and improve efficiency. Key responsibilities: Design and implement GenAI agents to support engineering tasks such as requirements analysis, documentation assistance, test interpretation and failure analysis; Build and maintain AI pipelines using LLMs, embeddings, vector databases and domain-specific knowledge sources; Integrate AI agents with engineering tools, databases and repositories, including PLM systems, test data platforms and document management systems; Develop Retrieval-Augmented Generation, RAG, pipelines for structured and semi-structured engineering data; Ensure agent reliability, traceability and safe behavior in regulated engineering environments; Collaborate with domain experts to evaluate usability, performance and fitness for purpose; Document system architectures, APIs, integration points and operational guidelines; Work closely with security and compliance teams to ensure responsible and compliant AI usage. Education: Degree in Computer Science, Engineering, Data Science or a related field. Experience: Experience in GenAI development, agent orchestration or AI-assisted tooling; Solid software engineering background, preferably with Python; Experience with APIs and microservices; Experience working with structured and semi-structured data, such as JSON, PDFs and engineering documentation. Know-how: Strong understanding of LLM integration patterns, embeddings and vector databases; Knowledge of agent frameworks, such as LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm and MCP; Experience with MLOps, AI observability, evaluation frameworks or model deployment is a plus; Familiarity with PLM systems, engineering workflows or compliance standards in automotive or industrial environments is an advantage. Languages: Proficiency in English; German is a plus. Working style: Structured, reliable and solution-oriented working style; Ability to collaborate effectively with cross-functional engineering teams; Comfortable working in iterative and experimental environments. Personality: Curious, proactive and eager to explore new technologies; Strong communication skills and collaborative mindset; Open to learning and working with diverse teams and perspectives. Benefits: Flexible work conditions; Hybrid work system; Exchange with colleagues around the world; Health insurance; Medical office on site, including psychology and general clinic; Social Services Office on site; Training opportunities, including technical training and foreign languages training; Certifications; Opportunities for career progression and continuous professional development; Access to discounts through partnerships and Bosch products; Sports and health-related activities; Great access to public transport; Free transport from Porto; Flexible benefits platform; Free parking lot; Canteen. Diversity and inclusion: Bosch values diversity and equal opportunities. The company welcomes applications from people with disabilities and can provide reasonable accommodations during the recruitment process and in the performance of professional activity. Success stories do not just happen. They are made. Make it happen.