NLP/LLM& AI Agent科学家_CR
Core
Design and develop LLM-based intelligent agent systems for high-precision task automation and decision support in industrial manufacturing scenarios.
Role type
Applied Research Scientist (LLM Agents & NLP)
Builds
Production-ready LLM agent systems with function calling, memory, and reasoning capabilities for Bosch's factory use cases.
Domain
Industrial Manufacturing / Large Language Models / AI Agents
Deliverable
production ML models
Required skills
LLM post-training and alignment (SFT, instruction tuning, reward modeling), agent architecture design (RAG, memory, tool use, planning), Python, Transformers, PyTorch, LangChain, LangGraph, domain adaptation, parameter-efficient tuning (LoRA/QLoRA), retrieval optimization (chunking, reranking, grounding)
Preferred skills
Industrial manufacturing domain experience, knowledge graph technologies, top-tier AI/ML/NLP research publications, computer vision or multimodal models
Technologies
LangChain, LangGraph, PyTorch, Transformers, LoRA, QLoRA
Responsibilities
Design and optimize LLM-powered agent systems for task automation; Execute post-training and alignment of LLMs; Advance RAG systems for domain-adapted performance; Collaborate with domain experts to transform industrial data; Validate and benchmark agent performance in production-like environments; Contribute to scientific publications, patents, or technical whitepapers
Seniority
Senior, hands-on IC
