Our client, a leading global technology innovator, is seeking a highly skilled and motivated Information Retrieval Algorithm Engineer to join their team at the forefront of artificial intelligence and machine learning. This is an exceptional opportunity to contribute to the development of cutting-edge Multi-Agent systems that will revolutionize how people interact with information and enhance productivity across various sectors.
As a Algorithm Engineer, you will be responsible for designing and developing advanced AI systems based on Large Language Models (LLMs). You will work closely with a team of researchers, data scientists, and engineers to create innovative solutions that solve complex problems, leveraging large-scale datasets and the latest machine learning techniques.
Technical Must Have Skills:
- Expertise in building Agents or Multi-Agent systems using LLMs – This is a core requirement for the Research Engineer position.
- Strong programming skills in Python – Proficiency in at least one major machine learning framework such as PyTorch is essential.
- Solid understanding of deep learning architectures – Including Transformers, BERT, GPT, and other relevant models.
- 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 are a must.
Technical Nice to Have Skills:
- In-depth experience with LangChain, LlamaIndex, or other similar agent frameworks – This will be highly advantageous for the role.
- Familiarity with vector databases, knowledge graphs, information extraction, or question-answering systems – These skills will complement the core responsibilities of the Research Engineer.
- Practical experience with advanced Retrieval-Augmented Generation (RAG) techniques – For grounding agents in factual knowledge and reducing model hallucinations.
- Background in software development and engineering best practices – This will enable the Research Engineer to seamlessly integrate the AI solutions into existing products and services.
- Hands-on experience with mainstream agent frameworks like LangChain – To build, test, and deploy autonomous, collaborative AI agents.
Additional Functional Requirements:
- Ability to research and implement different agent interaction and collaboration strategies – Such as debate, cooperation, and other techniques to enhance the system’s performance and creativity on complex tasks.
- Expertise in developing and integrating advanced knowledge management systems – To provide AI agents with accurate and timely information, reducing model hallucinations.
- Commitment to staying up-to-date with the latest technologies and methodologies in Natural Language Processing (NLP), Large Language Models, and AI Agents – To ensure the solutions developed are at the forefront of innovation.
- Strong analytical and problem-solving skills – To evaluate and benchmark the performance of AI Agent systems and perform iterative optimization.
- Excellent communication and collaboration skills – To work effectively with cross-functional teams and integrate the AI solutions into existing products and services.
Educational and Certification Requirements:
- Master’s or Ph.D. in Computer Science – with a focus on NLP, ML, or AI.
Job Ref: BBBH26064
Next Steps
If you possess the required skills and experience and are excited about the prospect of joining our client’s innovative team, we encourage you to submit your CV today. Our dedicated recruitment team will review your application and be in touch to discuss the next steps in the process.
Interested in this Role? Submit your CV today!
Please don’t hesitate to contact any of our team with any questions you may have on Email: [email protected]
