Research Engineer Large Language Models for Multi-agent Systems (fmdiv.)

As an AI research engineer at Bosch you will exploit and advance the novel capabilities of cutting-edge Large Language Models (LLMs) towards building multi-agent AI systems that solve and optimize complex engineering problems for software hardware and mechatronic systems. You will work towards building robust safe efficient and scalable solutions for a diverse array of Bosch applications.

• Reimagine AI-based engineering: You collaborate closely with domain experts from international corporate research departments and business units to develop novel agent-based approaches towards engineering addressing Boschs extensive product and service portfolio.
• Code Quality and Efficiency: As part of your tasks you write clean efficient and well-documented code that supports both research initiatives and the transfer of technology to practical applications. 
  Additionally you will develop best-practices and share them with the team.
• Fuel Multi-agent Systems with Bosch Data and Tools: You will focus on working with Boschs proprietary data to fine-tune and adapt generic language models and use them as basis for multi-agent systems that interact with state-of-the-art design simulation and optimization tools. This includes understanding the data and tools with domain experts as well as designing and implementing robust data ingestion pipelines for model training and inference.
• Entrepreneurial Ideation: Last but not least you leverage your entrepreneurial mindset to evaluate develop and pitch new ideas that drive innovation within the organization.

Qualifications :

• Education:
  • excellent Master in Computer Science Data Science Mathematics Physics Computational Linguistics or related fields
  • PhD in Machine Learning AI or Computational Linguistics
  • strong publication record on large language models generative AI and agentic AI in top-tier conferences (NeurIPS ICLR ACL EMNLP ICML CVPR etc.) is a plus
• Experience and Knowledge:
  • LLMs and Agentic AI:
    • deep knowledge and experience with state-of-the-art LLMs and their improvement via fine-tuning or advanced RAG mechanisms.
    • experience with agentic AI and building agentic workflows in particular multi-agent systems (e.g. LangChain AutoGen )
    • broad experience with modern machine learning methods and tools
  • AI-based Engineering:
    • strong interest in applying AI to systems engineering tasks such as design-space exploration requirement analysis architecture optimization verification support or engineering workflow automation
    • interest in combining formal engineering processes with adaptive AI methods
  • Industrial experience AI Infrastructure & Experimentation:
    • strong programming skills in Python and experience with modern deep learning frameworks (PyTorch TensorFlow JAX or others) in industrial real-world applications
    • familiarity with scalable experimentation distributed training and evaluation pipelines
    • experience with Docker Git CI/CD and collaborative software development practices
    • ability to build reproducible research infrastructure for training benchmarking and analyzing agentic AI systems
    • experience with cloud platforms (e.g. MS Azure GCP) for deploying and scaling AI/ML models is a plus
• Personality and Working Practice: you possess entrepreneurial mindset with the ability to translate advanced research into practical innovation; you are a strong team player highly self-motivated with conceptual strength and creativity and drive to bring latest research solutions into products and service
• Enthusiasm: you feel comfortable working in interdisciplinary teams and contributing to collaborative initiatives across Bosch research and development
• Languages: fluent in English German is a plus

Additional Information :

 
submit all relevant documents (CV certificates and links to GitHub or kaggle account). 

We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

Need support during your application
Meltem Arabacioglu (Human Resources)

Need further information about the job
Roland Norden (Functional Department)
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Work #LikeABosch starts here: Apply now!

Remote Work :

No

Employment Type :

Full-time