We're looking for our next Principal AI Engineer. Could It Be You?The Principal AI Engineer is a comprehensive, hybrid role requiring deep full-stack engineering discipline. You will be responsible for embedding foundational AI models into our high-frequency trading platforms, fine-tuning and optimizing models for low-latency financial contexts, and architecting autonomous, self-correcting agent systems that can handle complex multi-step investing workflows.
Need more details? Keep reading...In this role, responsibilities include but are not limited to:
AI Systems Engineering:- 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 Questrade's 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.
Model Optimization & Productionization:- Adapt open-source and frontier models to the nuances of Canadian financial markets.
- You will 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.
Autonomous Brokerage Workflows:
- 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.
Guardrails, Compliance & Auditing:
- In a heavily regulated brokerage space, safety is non-negotiable. 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.
Cross-Functional Collaboration:• 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.
So are YOU our next Principal AI Engineer? You are if you...- Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a closely related quantitative field.
- Experience: 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
Compensation Information:- Base salary range: $150,000 - $190,000
- The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Sounds like you? Click below to apply! 
