Senior AI Engineer

Team

Role

Responsibilities

• Design and orchestrate agentic workflows; integrate foundational models into functional software.
• Implement responsible AI safeguards for data privacy, predictability, explainability and security around sensitive HR and financial data.
• Solve latency, cost and reliability constraints; lead engineering workstreams, own development delivery and mentor engineers.
• Prototype, benchmark and evaluate AI outputs against product requirements.

Basic qualifications

• At least 8 years in software engineering, backend architecture, distributed systems and API design, plus 1 year in production LLM/agentic systems; or 5 years in ML engineering/AI application development, including 2 years shipping LLM-backed products.
• At least 2 years integrating LLMs or foundation models and AI APIs into enterprise products; at least 1 year designing AI orchestration such as multi-agent systems, routing layers or advanced RAG.
• At least 4 years optimizing application performance, including 1 year addressing LLM constraints such as tokens, cost and context windows.
• At least 4 years deploying scalable systems on cloud platforms such as AWS or GCP.
• Bachelor’s degree in computer science, software engineering or an equivalent technical field; master’s degree preferred.

Additional qualifications

• Strong understanding of responsible AI governance, guardrails, security and evaluation for agents accessing sensitive data.
• Proven technical leadership, development-lifecycle ownership and mentorship of junior-to-mid-level engineers.
• Able to architect reusable, robust AI application layers with predictable behavior, error handling and seamless user experience.
• Skilled in rapid prototyping, model benchmarking and automated evaluation of retrieval quality and agent behavior.
• Autonomous, product-focused builder who can turn open-ended goals into scalable solutions with practical user and business value.

Compensation

• Annual base pay range for Canada locations is CAD 169,000–253,000; role may also be eligible for bonus or commission and annual stock grants.

Flexible work

• Flexible arrangement includes in-person time and remote work; teams spend at least half of each quarter in the office or with customers, prospects or partners in the field, depending on role.
• Remote home-office employees may also join office gatherings.