Staff Engineer – AI Agentic Team

Posted 13 hours ago

This is a fully remote position, open to applicants in Canada, +1 more country.

πŸ“‹ Description

β€’ Develop, construct, and manage agent systems comprehensively from design to production for identity, fraud, risk, and commerce workflows.

β€’ Take ownership of evaluation harnesses and ensure observability for deployed systems.

β€’ Create dependable, manageable, multi-step agent workflows incorporating tool usage and human-in-the-loop methodologies.

β€’ Diagnose non-deterministic failures across models, tools, orchestration, and infrastructure.

β€’ Operate within a compliance-intensive, globally regulated environment with a focus on auditability, accuracy, and human supervision.

β€’ Establish and convey technical vision to colleagues and directed agents.

β€’ Utilize AI and emerging technologies to enhance productivity, optimize workflows, and pinpoint opportunities for continuous improvement.

β€’ Coordinate AI agents in daily engineering tasks, verify outcomes, and uphold accountability.

β€’ Report directly to the Director of Software Engineering.


⛳️ Requirements

β€’ Over 8 years of software engineering experience with a proven impact on production systems.

β€’ Proficiency in integrating AI agents within your engineering workflow.

β€’ Capability to manage features from start to finish and articulate trade-offs effectively to both technical and non-technical stakeholders.

β€’ Experience tackling complex, innovative, or ambiguous projects where you defined the core problem.

β€’ Practical experience in building with LLMs, including prompt engineering, RAG, tool utilization, and familiarity with at least one agent framework like LangGraph, CrewAI, or AutoGen.

β€’ Background in evaluation frameworks for agent behavior.

β€’ Preferred: experience in financial services, identity, fraud, risk, or other compliance-focused sectors.

β€’ Preferred: knowledge of multi-agent orchestration patterns and production-grade evaluation harnesses.

β€’ Preferred: experience with AI observability tools and MLOps practices.

β€’ Preferred: familiarity with vector databases, knowledge graphs, or structured retrieval for agent memory.


🏝️ Benefits

β€’ Health coverage.

β€’ Dental coverage.

β€’ Vision coverage.

β€’ Retirement plans with company match.

β€’ Paid time off.

β€’ Parental leave.

β€’ Annual education & training stipend equivalent to $1,000 in local currency.

β€’ Flexible hybrid working environment.

β€’ Weekly lunches.

β€’ Quality coffee.

β€’ Regular social events.

β€’ Parent rooms at select locations.

β€’ On-site gyms at certain locations.

β€’ Comfortable lounges.

β€’ Adaptable workstations.

β€’ Wellness workshops and events.

β€’ Complimentary Headspace subscription.

β€’ Employee Resource Groups.

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