Information Retrieval Algorithm Engineer

Huawei

  • Amsterdam, Noord-Holland
  • Vast
  • Voltijds
  • 23 dagen geleden
Team Introduction:Huawei Amsterdam Research Center is at the forefront of innovation in artificial intelligence and machine learning. We are dedicated to developing cutting-edge technologies that revolutionize how people interact with information and enhance productivity across various sectors. Our team of experts is committed to pushing the boundaries of what's possible in AI, and we are looking for talented individuals to join us on this exciting journey.Position Overview:We are seeking a highly skilled and motivated Research Engineer to join our team, focusing on building advanced AI systems based on Large Language Models (LLMs).In this role, you will be responsible for designing and developing cutting-edge Multi-Agent systems aimed at automating complex reasoning, collaboration, and creative tasks. You will work closely with our team of researchers, data scientists, and engineers to create innovative solutions that solve complex problems, leveraging large-scale datasets and advanced machine learning techniques.Key Responsibilities: * Design and develop multi-agent AI systems using Large Language Models (LLMs) to automate complex problem-solving and generate high-quality content.
  • Utilize mainstream agent frameworks like LangChain to build, test, and deploy autonomous, collaborative AI agents.
  • Research and implement different agent interaction and collaboration strategies (e.g., debate, cooperation) to explore and enhance the system's performance and creativity on complex tasks.
  • Develop and integrate advanced knowledge management and Retrieval-Augmented Generation (RAG) systems to provide AI agents with accurate and timely information, reducing model hallucinations.
  • Stay up-to-date with and research the latest technologies and methodologies in Natural Language Processing (NLP), Large Language Models, and AI Agents.
  • Collaborate with cross-functional teams to integrate the AI solutions you develop into existing products and services.
  • Evaluate and benchmark the performance of AI Agent systems and perform iterative optimization.
Qualifications: * Master's or Ph.D. in Computer Science with a focus on NLP, ML, or AI.
  • Hands-on project experience in building Agents or Multi-Agent systems using LLMs; this is a core requirement for the position.
  • Strong programming skills in Python and familiarity with at least one major machine learning framework such as PyTorch.
  • Solid understanding of deep learning architectures, including Transformers, BERT, GPT, etc.
  • Proven track record of research excellence, demonstrated through publications in relevant conferences and journals.
  • Ability to work independently and as part of a collaborative team.
  • Excellent problem-solving skills and attention to detail.
Preferred Qualifications: * In-depth experience with LangChain, LlamaIndex, or other similar agent frameworks is highly preferred.
  • Familiarity with vector databases, knowledge graphs, information extraction, or question-answering systems.
  • Practical experience with advanced RAG techniques for grounding agents in factual knowledge.
Background in software development and engineering best practices.

Huawei