4 часа назад
Staff Engineer or Architect (Agentic AI)
175 000 - 205 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer or Architect (Agentic AI) (AI, digital identity, fraud, and risk): Designing and building reliable multi-step agent systems for identity, fraud, risk, and commerce workflows with an accent on LLM integration, tool use, evaluation, and observability. Focus on troubleshooting non-deterministic failures, orchestrating human-in-the-loop decisions, and ensuring auditability and compliance in regulated environments.
Location: Vancouver office with a hybrid schedule of three days per week in the office, or remote within North America.
Salary: CA$175,000–CA$205,000 annually, plus equity and bonus opportunities.
Company
provides a digital identity verification platform for onboarding customers, reducing costs, combating fraud, and supporting compliance worldwide.
What you will do
- Design, build, and own agent systems from initial design through production for identity, fraud, risk, and commerce workflows.
- Develop reliable, steerable, multi-step agent workflows with tool use and human-in-the-loop patterns.
- Build evaluation harnesses and observability for production agent systems.
- Investigate non-deterministic failures across models, tools, orchestration, and infrastructure.
- Set and communicate technical direction while defining clear specifications for teammates and AI agents.
- Use AI and emerging technologies to improve productivity and optimize engineering workflows responsibly.
Requirements
- 8+ years of software engineering experience with demonstrated impact on production systems.
- Hands-on experience with LLMs, prompt engineering, RAG, tool use, and at least one agent framework such as LangGraph, CrewAI, or AutoGen.
- Experience developing evaluation frameworks for agent behavior and production-grade multi-agent orchestration.
- Experience working in financial services, identity, fraud, risk, or another compliance-heavy environment.
- Ability to own features end-to-end, define ambiguous problems, and communicate trade-offs to technical and non-technical stakeholders.
- Experience with AI observability, MLOps, vector databases, knowledge graphs, or structured retrieval is required for the role's technical scope.
Culture & Benefits
- Full-time permanent employment with health, dental, vision, retirement plans with company matching, paid time off, and parental leave.
- Annual education and training stipend equivalent to $1,000 in local currency.
- Hybrid offices with collaborative workspaces, lunches, social events, and flexible workstations.
- Wellness workshops, events, and a complimentary Headspace subscription.
- Employee resource groups supporting inclusion, community, and belonging.
Hiring process
- 30-minute recruiter interview.
- 30-minute hiring manager interview and 120-minute technical interview.
- 30-minute final leadership interview.
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