Senior Software Engineer (AI Agents)

TL;DR

Senior Software Engineer (AI Agents): Building and optimizing state-of-the-art LLM-powered agents for competitive intelligence with an accent on multi-agent orchestration and evaluation frameworks. Focus on designing high-performance retrieval pipelines, optimizing inference costs, and creating human-in-the-loop feedback mechanisms to ensure accuracy and trust.

Location: Hybrid (Office-First). Must be based in Vancouver, Toronto, or London; office attendance is required on Mondays, Wednesdays, and Thursdays.

Salary: CA$145,000 – CA$183,000

Company

hirify.global is an AI-first competitive intelligence platform that generates market and competitor insights to help organizations win more deals.

What you will do

• Build and ship backend systems for agentic workflows, including retrieval pipelines and multi-step agent architectures.
• Optimize LLM-powered workflows through prompt design, retrieval strategies, and latency optimization.
• Develop and operate evaluation frameworks to measure relevance, quality, and success of agent pipelines.
• Design and prototype human-in-the-loop systems for validation, correction loops, and continuous improvement.
• Collaborate with product and infrastructure teams to establish production-grade patterns for agentic systems.
• Evaluate and integrate the latest advances in LLMs and retrieval architectures.

Requirements

• Experience building production backend systems in search, retrieval, distributed systems, or API-heavy architectures.
• Proven experience building or evaluating agentic or LLM-powered systems (RAG).
• Strong software engineering fundamentals with proficiency in Python and CI/CD practices.
• Experience with search and retrieval tools such as PGVector, Pinecone, or Elasticsearch.
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) for high-availability systems.
• Must be located in or able to work from the Vancouver, Toronto, or London hubs.

Nice to have

• Experience designing complex multi-agent orchestration workflows.
• Contributions to AI/ML open-source projects.
• Strong understanding of ML fundamentals (precision, recall, bias-variance tradeoff).
• Interest in sharing technical learnings through blogs or talks.

Culture & Benefits

• Flexible "Take The Time You Need" vacation policy.
• Comprehensive health and dental coverage starting on Day 1.
• Opportunity to participate in the Employee Stock Option Plan.
• High-performance culture with direct access to leadership and the CEO.
• Top-tier hardware (Mac or PC) and AI-first internal tooling.
• Dog-friendly office environments in Vancouver and Toronto.