AI Engineer

What We Need

We’re looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines hands-on engineering with system-level thinking—owning everything from architecture and evaluation to scalability, observability, and reliability in production. The ideal candidate thrives in ambiguity, moves quickly from prototype to production, and brings a strong focus on quality, safety, and real-world impact.

 

What You'll Do

Agent Platform & Architecture

• Design and build core agent platform capabilities, including orchestration patterns (e.g., ReAct, Plan-and-Execute), tool execution layers, memory/context management, and guardrails
• Develop reusable agent skills and a standardized tool ecosystem aligned with platform conventions
• Implement enterprise-grade controls for agent execution, including human-in-the-loop workflows, permissioning, and policy enforcement

Retrieval & AI Systems

• Design and implement RAG services, including hybrid retrieval, reranking, embeddings, and citation behavior
• Define evaluation frameworks and quality metrics to ensure grounded, reliable outputs

Production Engineering & Reliability

• Build automated evaluation and regression pipelines to maintain quality at scale
• Establish observability (tracing, metrics, alerting) and optimize systems for latency, throughput, and cost
• Define best practices and incident response processes to ensure production readiness

Applied Research & Technical Strategy

• Prototype and productionize emerging approaches (e.g., GraphRAG, knowledge graphs, MCP integrations)
• Evaluate AI frameworks and infrastructure (e.g., LangChain, LangGraph, AutoGen, LlamaIndex) and guide platform decisions

Technical Execution

• Diagnose and resolve complex AI system issues (retrieval quality, hallucinations, prompt regressions, agent failures)
• Lead system design and drive technical decisions through hands-on prototyping and benchmarking

 

What You Bring

• BS in Computer Science, AI, Electrical Engineering, or related field (advanced degree preferred or equivalent experience)
• 5+ years of software engineering experience, including building and deploying production-grade LLM, agent, or RAG systems
• Proven track record of shipping and supporting AI-powered features in production
• Strong Python skills (API design, testing, error handling, environment management)
• Working proficiency in C# or C++
• Deep understanding of RAG system design and evaluation methodologies
• Experience building evaluation frameworks (test sets, metrics, regression pipelines)
• Understanding of LLM security risks (prompt injection, data leakage, agent misuse)
• Experience with graph databases, knowledge graphs, or GraphRAG preferred
• Experience designing human-in-the-loop systems and execution controls preferred
• Experience with agent frameworks (e.g., LangChain, LangGraph, AutoGen, LlamaIndex)
• You are willing and able to commute to our Toronto, ON office on a hybrid (once a week) schedule
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

 

What We Offer

Our comprehensive compensation package is vital in how we recognize our people for the impact they make on us reaching our goals as a company.

For this role, the estimated base is CAD $130,000 - CAD $165,000 + Bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

The range listed above is a guideline and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes but is not limited to RRSP and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.