AI Engineer at Oxford Dynamics

Compensation

£0/yr

Setup: Hybrid
Location: Ontario
Type: Full-time
Posted: May 6, 2026

Description

Oxford Dynamics is seeking AI Engineers to develop and deploy agentic AI systems, focusing on multi-agent pipelines, integrating large language models and vision-language models, and ensuring secure deployment in defense and national security contexts. This role involves owning features end-to-end, collaborating with cross-functional teams, and contributing to evaluation frameworks.

Required Skills

Python
LLM Frameworks
Multi-Agent AI Systems
Observability
Secure Deployment Patterns

Additional Information

Required Previous Experiences: Commercial experience building multi-agent or agentic AI systems in production
Experience deploying AI/ML systems into production environments
Preferred Qualifications: Experience with multimodal reasoning
Experience with edge or offline AI deployments
Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications
MLOps experience - model evaluation, monitoring, reproducibility
Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring)
Experience with agent orchestration patterns and inter-agent communication protocols (e.g. A2A)
Familiarity with MCPs for tool and context integration in agentic systems
Familiarity with secure-by-design development principles (ISO 27001, NIST, OWASP)
Experience in defence, national security, or similarly regulated environments
Contributions to open-source AI/ML projects