Senior Research Engineer (AI / LLM / Cloud) – 12-Month Contract

About the Opportunity

Our client is seeking a Senior Research Engineer to join a cutting-edge research and development team focused on advancing cloud and AI technologies. This role offers the opportunity to work on next-generation AI systems, including LLM-powered agents, within a highly innovative and collaborative environment.

About the Team

The team is a Canada-based technical innovation group dedicated to building advanced cloud technologies and supporting their productization. Key focus areas include:

• Cloud-native databases
• Intelligent SQL engines
• AI and agent infrastructure
• LLM and agent evaluation technologies

The team fosters a strong research culture and collaborates closely with industry experts to develop scalable, high-performance cloud platforms.

Key Responsibilities

• Design and develop LLM-powered AI agents for cloud services, with a focus on orchestration, robustness, and platform integration
• Translate advanced research concepts into production-ready code and scalable AI applications
• Collaborate with AI researchers and cloud engineers to design, implement, and evaluate intelligent systems
• Improve performance, reliability, and stability of agent-based workflows through rigorous testing and evaluation
• Contribute to applied research initiatives, including opportunities to publish and patent innovations

Qualifications

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Industry experience is considered an asset for PhD candidates
• Strong programming skills in Python with hands-on experience using PyTorch
• Deep understanding of:
  • Transformer architectures
  • Generative AI techniques (e.g., fine-tuning, PEFT)

Technical Skills & Experience

• Experience designing and implementing advanced orchestration frameworks such as:
  • State machines
  • Directed acyclic graphs (DAGs)
  • Multi-agent systems
• Ability to develop evaluation and benchmarking frameworks for AI agents, including:
  • Trajectory analysis
  • LLM-based evaluation methods (e.g., “LLM-as-a-judge”)
  • Custom reliability metrics

Soft Skills

• Strong communication skills with the ability to collaborate effectively across teams
• Self-driven with the ability to work independently on research initiatives
• Team-oriented mindset with a focus on shared success