Senior Software Engineer (Agentic AI)

TL;DR

Senior Software Engineer (Agentic AI): Designing and building the core platform and primitives for agent-native operations with an accent on orchestration, tool use, and memory systems. Focus on developing evaluation frameworks, implementing safety guardrails, and productionizing agent behaviors for internal and customer-facing workflows.

Location: Remote (Must be based in Canada)

Salary: CA$165K – CA$195K + Equity & Bonus

Company

hirify.global is building the identity trust infrastructure for the digital economy to verify identities in real time and stop fraud before it starts.

What you will do

• Design and build a vendor-agnostic agent platform including orchestration, tool use, memory, and runtime systems.
• Develop evaluation and reliability frameworks to measure and improve agent performance and safety in production.
• Implement safety and governance controls such as guardrails, policy enforcement, and human-in-the-loop review mechanisms.
• Build systems for data grounding and retrieval to ensure agents are context-aware and aligned with domain knowledge.
• Prototype and productionize agent behaviors, including planning and multi-step execution.
• Partner with cross-functional teams to identify high-impact use cases and launch agent-powered workflows.

Requirements

• 5+ years of professional software engineering experience with a strong background in large-scale distributed systems or backend platforms.
• 3+ years of experience building and operating production-grade systems with strict reliability and observability requirements.
• Hands-on experience with LLMs, Agentic AI systems, or building intelligent applications in production.
• Proficiency in at least one modern backend language (Java, Go, Python, or similar) and cloud-native infrastructure.
• Must be based in Canada

Nice to have

• Background in multi-agent systems or distributed coordination frameworks.
• Experience with AI safety, guardrails, policy engines, or responsible AI frameworks.
• Experience with retrieval systems, knowledge graphs, or LLM grounding in enterprise contexts.
• Previous experience in a founding or early-stage platform-building role.

Culture & Benefits

• High-impact, zero-to-one role with a high degree of ownership and autonomy.
• Compensation includes base salary, equity, and bonuses.
• Opportunity to work on complex identity trust problems with a high technical bar.
• Collaborative environment partnering with Platform, Product, and Data Science leaders.