Staff Engineer – AI Agentic Team

🔥 13 hours ago

🌐 Canada, United States – Remote

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💵 $185k - $215k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 1%

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Logo of Trulioo

Trulioo

201 - 500 employees

Founded 2011

☁️ SaaS

📋 Compliance

🔌 API

💰 $394M Series D - Trulioo on 2021-06

SaaS • Compliance • API

Trulioo is a global identity verification platform that provides KYC, KYB and AML compliance solutions via a single API and modular SaaS offerings. It verifies individuals and businesses using document and electronic ID checks, biometrics, fraud intelligence and machine-learning routing across 450+ data sources and coverage in 195 countries to help organizations onboard customers securely and meet regulatory requirements. Trulioo serves banks, payment providers, marketplaces, crypto firms and other enterprises needing scalable, audit-ready identity and fraud prevention services.

📋 Description

• 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 with 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 with emphasis on auditability, correctness, and human oversight • Set and communicate technical vision to teammates and directed agents • Leverage AI and emerging technologies to improve productivity, streamline workflows, and identify continuous-improvement opportunities • Orchestrate AI agents in daily engineering work, verify outputs, and maintain accountability • Report to the Director of Software Engineering

🎯 Requirements

• 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 building 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, or other compliance-heavy environments • Nice to have: multi-agent orchestration patterns and production-grade evaluation harnesses • Nice to have: AI observability tooling and MLOps practices • Nice to have: vector databases, knowledge graphs, or structured retrieval for agent memory

🏖️ Benefits

• 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 some locations • On-site gyms at some locations • Comfortable lounges • Adaptable workstations • Wellness workshops and events • Complimentary Headspace subscription • Employee Resource Groups

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