3 часа 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, LLMs): Designing and owning production agent systems for identity, fraud, risk, and commerce workflows with an accent on multi-step orchestration, evaluation, observability, and responsible AI. Focus on troubleshooting non-deterministic failures, building human-in-the-loop systems for regulated decisions, and defining technical specifications that agents and engineers can execute reliably.
Location: Remote within North America or hybrid from the Vancouver office, with three days per week in the office.
Salary: $185K–$215K annually, plus equity and bonus.
Company
provides a digital identity verification platform for customer onboarding, fraud prevention, compliance, and business verification across global markets.
What you will do
- Design, build, and own agent systems from initial design through production for identity, fraud, risk, and commerce workflows.
- Build reliable, steerable, multi-step agent workflows with tool use and human-in-the-loop patterns.
- Create evaluation harnesses and observability for production agent behavior.
- Investigate non-deterministic failures across models, tools, orchestration, and infrastructure.
- Define and communicate technical vision, specifications, and trade-offs to technical and non-technical stakeholders.
- Use AI and emerging technologies to improve productivity while maintaining secure, responsible, and compliant usage.
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 with evaluation frameworks for agent behavior, multi-agent orchestration, and production-grade systems.
- Experience in financial services, identity, fraud, risk, or another compliance-heavy domain.
- Ability to own features end-to-end, define ambiguous problems, and communicate trade-offs clearly.
- Experience with AI observability, MLOps, vector databases, knowledge graphs, or structured retrieval is required across the listed technical scope.
Culture & Benefits
- Full-time permanent employment with health, dental, vision, 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 collaboration spaces, social events, wellness workshops, and employee resource groups.
- Complimentary Headspace subscription and additional wellness support.
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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