5 дней назад
Staff Engineer or Architect (Agentic AI Team)
185 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer or Architect (Agentic AI Team) (Agentic AI, identity and fraud): Designing and operating production agent systems for identity, fraud, risk, and commerce workflows with an accent on multi-step orchestration, evaluation, observability, and compliance. Focus on building reliable LLM-powered agents, troubleshooting non-deterministic failures, and applying human oversight in regulated, high-stakes decisions.
Location: Hybrid in Vancouver, with three days per week in the office, or remote within North America. The posting also references a San Diego hub.
Salary: $185,000–$215,000 per year, plus equity and bonus.
Company
provides a digital identity verification platform for customer onboarding, fraud prevention, risk management, and regulatory compliance.
What you will do
- Design, build, and own agent systems end-to-end for identity, fraud, risk, and commerce workflows.
- Build reliable, steerable, multi-step agent workflows with tool use and human-in-the-loop patterns.
- Own evaluation harnesses and observability for production agent systems.
- Troubleshoot non-deterministic failures across models, tools, orchestration, and infrastructure.
- Define and communicate technical vision while making agent-executable specifications clear and auditable.
- Use AI and emerging technologies to improve productivity while maintaining responsible, secure, and compliant practices.
Requirements
- 8+ years of software engineering experience with demonstrated impact on production systems.
- Experience owning features end-to-end and communicating technical trade-offs to technical and non-technical stakeholders.
- Hands-on experience with LLMs, prompt engineering, RAG, tool use, and an agent framework such as LangGraph, CrewAI, or AutoGen.
- Experience with agent evaluation frameworks, multi-agent orchestration, and production-grade evaluation harnesses.
- Experience in financial services, identity, fraud, risk, or another compliance-heavy environment.
- Remote work is limited to North America; the hybrid option requires three days per week in the Vancouver office.
Nice to have
- AI observability tooling and MLOps practices, including experiment tracking, model registries, or feature stores.
- Experience with vector databases, knowledge graphs, or structured retrieval for agent memory.
Culture & Benefits
- Full-time permanent employment with health, dental, and vision coverage.
- Retirement plans with company match, paid time off, and parental leave.
- Annual education and training stipend equivalent to $1,000 in local currency.
- Hybrid offices with lunches, social events, adaptable workstations, and selected wellness facilities.
- Wellness workshops, events, a Headspace subscription, and employee resource groups.
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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