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About the Role

The Principal AI Engineer role is a comprehensive, hybrid position requiring deep full-stack engineering discipline. You will be responsible for embedding foundational AI models into high-frequency trading platforms, fine-tuning and optimizing models for low-latency financial contexts, and architecting autonomous, self-correcting agent systems for complex multi-step investing workflows.

Responsibilities

• Build and maintain the underlying infrastructure required to deploy AI within a high-performance brokerage environment.
• Design scalable REST/gRPC APIs, manage vector embeddings of market data, and integrate LLM orchestration layers cleanly with existing C#/.NET microservices, Angular/Next.js frontends, and GCP cloud infrastructure.
• Consistently evaluate emerging AI trends and frameworks to build new and better ways for the platform to remain a market leader.
• Adapt open-source and frontier models to the nuances of Canadian financial markets.
• Fine-tune models (using LoRA/QLoRA) on proprietary market research, client portfolios, and compliance data.
• Optimize models for maximum throughput and minimum latency to ensure real-time response times in active trading dashboards.
• Design and implement stateful multi-agent systems using frameworks like LangGraph or custom runtime loops.
• Build autonomous "digital investment assistants" capable of multi-step execution—such as checking account balances, querying market data streams, analyzing asset allocations against a user’s risk profile, drafting rebalancing orders, and routing them safely to human validation queues.
• Implement strict deterministic guardrails, prompt injection defenses, and real-time automated audit frameworks using Kafka data streams.
• Ensure all AI actions are auditable, verifiable, and adhere to strict regulators and privacy compliance standards.
• Partner closely with software and data engineering squads, product managers, and cybersecurity to embed intelligence capabilities smoothly into brokerage products.
• Communicate complex technological concepts and algorithmic logic clearly to non-technical business partners.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a closely related quantitative field.
• 7+ years of professional software engineering experience, with 2+ years of dedicated experience shipping production-grade Generative AI, RAG, or Agentic features to end-users.
• Strong proficiency in Python (FastAPI, PyTest) paired with experience in enterprise ecosystems like C#/.NET Core, Node.js/TypeScript, or C++.
• Hands-on experience within a cloud-native architecture (preferably GCP) using Docker, Kubernetes, and infrastructure-as-code (Terraform).
• Strong database skills across Google Cloud SQL, BigQuery, and NoSQL solutions (MongoDB, Redis).
• Proven experience building complex RAG pipelines and orchestrating multi-agent systems utilizing LangGraph, CrewAI, Semantic Kernel, or Model Context Protocol (MCP).
• Proficient with vector databases.
• Deep understanding of software design patterns (Domain-Driven Design), event-driven architectures (Kafka, Google Pub/Sub), and handling real-time, low-latency data streams.
• Demonstrated ability to approach intricate business barriers with an analytical, innovative mindset.

Skills

• Generative AI
• RAG
• Agentic features
• Python
• FastAPI
• PyTest
• C#/.NET Core
• Node.js/TypeScript
• C++
• GCP
• Docker
• Kubernetes
• Terraform
• Google Cloud SQL
• BigQuery
• MongoDB
• Redis
• LangGraph
• CrewAI
• Semantic Kernel
• Model Context Protocol (MCP)
• Vector databases
• Domain-Driven Design
• Kafka
• Google Pub/Sub

Location

• Canada

Work Type

• Hybrid

Experience Level

• Principal
• 7+ years of professional software engineering experience
• 2+ years of dedicated experience shipping production-grade Generative AI, RAG, or Agentic features to end-users

Education Level

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a closely related quantitative field.

Salary/Compensations

• $150,000 - $190,000

Benefits

• Health & wellbeing resources and programs
• Paid vacation, personal, and sick days for work-life balance
• Competitive compensation and benefits packages
• Career growth and development opportunities
• Opportunities to contribute to community causes
• Comprehensive benefits plan
• Competitive incentive (bonus) program

About the Company

• Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more.
• We use cutting-edge technology to help Canadians become much more financially successful and secure.
• At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services.
• The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work.
• Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits.
• If you share this sense of infinite possibility, come shape your future at QFG.
• At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment.
• This is an environment where individuals are treated with dignity and respect.
• Here, the unique skills and experience you bring will be valued.
• You will be supported and motivated, so that you can harness your unlimited potential.
• Our team reflects the diversity of the communities we serve and operate in.
• Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.
• Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening.
• The AI system operates on predetermined criteria, with final decisions subject to human review.
• Candidates selected for an interview will be contacted directly.
• If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.

Equal Opportunity

• We are committed to fostering a diverse, inclusive and accessible work environment.
• This is an environment where individuals are treated with dignity and respect.
• Our team reflects the diversity of the communities we serve and operate in.