Information Retrieval Algorithm Engineer

They are seeking a highly skilled and motivated Research Engineer to join their team, with a focus on building advanced AI systems powered by Large Language Models (LLMs). The successful candidate will play a key role in designing multi-agent systems capable of complex reasoning, collaboration, and creative problem-solving.

Responsibilities

• Design and develop multi-agent AI systems leveraging LLMs for advanced problem-solving and content generation.

• Utilize leading frameworks (e.g., LangChain) to build, test, and deploy autonomous, collaborative AI agents.

• Research and implement novel interaction and collaboration strategies (e.g., debate, cooperation) to boost system creativity and performance.

• Develop and integrate advanced knowledge management and Retrieval-Augmented Generation (RAG) solutions to ensure factual accuracy and reduce hallucinations.

• Stay current with emerging technologies in NLP, LLMs, AI agents, and knowledge retrieval.

• Collaborate with cross-functional teams to integrate solutions into products and services.

• Benchmark, evaluate, and iteratively optimize AI agent systems between simulation results and fabrication feasibility.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field (with focus on NLP/LLMs).

• Hands-on project experience in building AI agents or multi-agent systems using LLMs.

• Strong programming expertise in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).

• Deep understanding of transformer architectures (e.g., GPT, BERT).

• Experience with agent-building frameworks such as LangChain or LlamaIndex.

• Knowledge of vector databases, knowledge graphs, information extraction, or question-answering systems.

• Practical experience with Retrieval-Augmented Generation (RAG) methods.

• Track record of research excellence, demonstrated through peer-reviewed publications.

• Familiarity with software engineering best practices and scalable system development.

• Strong problem-solving ability, attention to detail, and the capacity to work both independently and collaboratively.

This role offers the unique opportunity to be at the forefront of innovation in next-generation AI systems. You will: * Work on groundbreaking projects combining LLMs, multi-agent systems, and advanced knowledge retrieval. * Collaborate with some of the brightest minds in AI and shape the evolution of intelligent information systems. * Join a dynamic, international research team with a strong commitment to pushing technical and scientific boundaries.