Senior LLM Architect: Multi-Agent Systems & RAG

Wepsys; Remote; CAD 100,000 - 130,000; Full time

Job summary

A technology company in Canada is seeking a skilled machine learning engineer to develop advanced agentic systems. The role involves designing and implementing multi-agent architectures while enhancing interoperability through bespoke tooling. Ideal candidates will have over 7 years of experience in machine learning, proficiency in Python, and strong knowledge of AI frameworks like Tensorflow and PyTorch. Candidates should also possess a solid foundation in statistics and communicate effectively in English (B2+/C1 level).

Qualifications

• 7+ years of experience in machine learning engineering.
• 3+ years in designing and implementing machine learning models in production.
• Proficient in Python and machine learning frameworks such as Tensorflow and PyTorch.

Responsibilities

• Design and implement advanced agentic systems.
• Develop bespoke tooling for agent interoperability.
• Apply RAG methodologies for task execution.

Skills

Machine Learning

Python

AI Algorithms

Statistics

Natural Language Processing

Communication

Tools

Tensorflow

PyTorch

PostgreSQL

MongoDB

Job description

A technology company in Canada is seeking a skilled machine learning engineer to develop advanced agentic systems. The role involves designing and implementing multi-agent architectures while enhancing interoperability through bespoke tooling. Ideal candidates will have over 7 years of experience in machine learning, proficiency in Python, and strong knowledge of AI frameworks like Tensorflow and PyTorch. Candidates should also possess a solid foundation in statistics and communicate effectively in English (B2+/C1 level).