Staff Engineer – AI Agentic Team

Trulioo

. Report to the Director of Software Engineering .

Posted 9/16/2026full-timeVancouver • CanadaLead💰 CA$175,000 - CA$205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in software engineering with a focus on designing and building end-to-end agent systems for identity, fraud, and risk workflows. Proficient in using AI agents, LLMs, and evaluation frameworks to enhance productivity and ensure compliance in regulated environments.

Highest-signal resume keywords

8+ Years Of Software Engineering ExperienceFluency Using AI AgentsHands-On Experience With LLMsExperience With Evaluation FrameworksMulti-Agent Orchestration Patterns

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringAI AgentsLLMsPrompt EngineeringRAGTool UseEvaluation FrameworksAgent FrameworksMulti-Step Agent WorkflowsTroubleshooting Non-Deterministic Failures

Soft Skills

CommunicationProblem DefinitionStakeholder Engagement

Tools & Technologies

LangGraphCrewAIAutoGenAI Observability ToolingMLOps PracticesExperiment TrackingModel RegistriesFeature StoresVector DatabasesKnowledge Graphs

Industry Keywords

IdentityFraudRiskAMLFraud Rules EnginesIdentity GraphsRisk ScoringComplianceAuditabilityHuman Oversight

About the role

Key responsibilities & impact

Report to the Director of Software Engineering
Design, build, and own agent systems end-to-end from design through production for identity, fraud, risk, and commerce workflows
Own evaluation harnesses and observability for shipped systems
Build reliable, steerable, multi-step agent workflows involving planning, execution, outcome observation, iterative improvement, tool use, and human-in-the-loop patterns
Troubleshoot non-deterministic failures across models, tools, orchestration, and infrastructure
Work in a compliance-heavy, globally regulated domain emphasizing auditability, correctness, and human oversight
Set and communicate technical vision to teammates and directed agents
Use AI and emerging technologies to improve productivity, streamline workflows, enhance decision-making, and identify continuous-improvement opportunities
Orchestrate AI agents in daily engineering work, verify outputs, and maintain accountability
Participate in recruiter, hiring manager, technical, and final leadership interviews

Requirements

What you’ll need

8+ years of software engineering experience with demonstrated impact on production systems
Fluency using AI agents in your own engineering workflow
Ability to own features end-to-end and communicate trade-offs clearly to technical and non-technical stakeholders
Experience working on challenging, novel, or ambiguous projects where you defined the problem
Hands-on experience with LLMs, including prompt engineering, RAG, tool use, and at least one agent framework such as LangGraph, CrewAI, or AutoGen
Experience with evaluation frameworks for agent behavior
Nice to have: experience in financial services, identity, fraud, risk, AML, fraud rules engines, identity graphs, or risk scoring
Nice to have: multi-agent orchestration patterns and production-grade evaluation harnesses
Nice to have: AI observability tooling and MLOps practices, including experiment tracking, model registries, and feature stores
Nice to have: vector databases, knowledge graphs, or structured retrieval for agent memory

Benefits

Comp & perks

Health coverage
Dental coverage
Vision coverage
Retirement plans with company match
Paid time off
Parental leave
Annual education & training stipend equivalent to $1,000 in local currency
Flexible hybrid working environment
Weekly lunches
Quality coffee
Regular social events
Parent rooms at many locations
On-site gyms at many locations
Comfortable lounges
Adaptable workstations
Wellness workshops and events
Complimentary Headspace subscription
Employee Resource Groups
Equity
Bonus