Staff AI Security Engineer securing EQ Bank’s enterprise AI, machine learning, and cloud platforms. Building guardrails, controls, automation, and detection capabilities for Canada’s Challenger Bank.
About the role
- Staff AI Developer shaping architecture and building systems for an AI grant research platform. Collaborating across Rails and Python systems with a focus on AI-enabled software development.
Responsibilities
- Partner with Product to translate roadmap priorities into technical designs, implementation plans, and delivery strategies
- Design and implement features across application, data, and infrastructure layers
- Own and evolve core platform architecture across both Rails and Python systems
- Make high-impact architectural decisions (service boundaries, modularization, data access patterns, scalability)
- Build and optimize high-scale background processing systems (notifications, scoring, ingestion, exports, etc.)
- Develop workflows spanning APIs, background jobs, ingestion pipelines, search/discovery, and reporting
- Investigate production issues, identify root causes, and improve platform reliability
- Implement AI-powered features including LLM orchestration, prompt workflows, and observability controls
- Leverage AI-assisted development tools for coding, testing, refactoring, and documentation
- Document architectural decisions and system behavior for long-term maintainability
- Collaborate with Engineering, Product, Customer Success, and Support teams to continuously improve the platform
Requirements
- Proven experience as a Senior or Staff-level engineer building production SaaS or data platforms
- Deep expertise in Ruby on Rails, including performance, architecture, and long-lived systems
- Strong hands-on experience with Python (FastAPI or similar frameworks preferred)
- Experience across both application platforms and data systems (APIs, ingestion, pipelines, reporting)
- Strong background in background processing systems (e.g., Sidekiq, Redis, queues, schedulers)
- Solid understanding of PostgreSQL schema design and performance optimization
- Experience designing and operating production APIs (REST, auth, versioning, validation)
- Comfort working in cloud-native, containerized environments
- Experience with search and discovery systems (full-text, semantic, vector search)
- A demonstrated AI-first development approach, using LLMs and automation tools
- Strong understanding of security best practices (auth, data isolation, secrets management)
- Experience with CI/CD pipelines, testing frameworks, and code quality tooling
- Excellent communication skills, especially around technical decision-making.
Benefits
- Competitive wages
- Wellness days
- Community Engagement Committee
- Flexible workday
- Benefits Ask us for a copy of our health and dental benefits!
- Culture committee
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