Agentic LLM Architect

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Work Authorization: Must be legally authorized to work in Canada

Company Description

Modern Requirements is a leading provider of requirements lifecycle management solutions, helping organizations define, manage, and collaborate on requirements to improve project outcomes. Founded in 1999 and headquartered in Toronto, Canada, we serve global clients across industries with a comprehensive platform that increases productivity, accelerates delivery, and enhances application quality.

About this role

We are preparing to release V1 of our AI capabilities, and we’re hiring a Senior AI Platform Engineer to take us to the next level.

This role is not limited to one agent system—you’ll work across all product teams to build shared AI platform capabilities that accelerate delivery and raise quality, reliability, and scalability across our product suite. This is not a consulting role. You’ll be hands‑on in the codebase daily.

What you’ll do

  • Build reusable AI platform components (services, libraries, templates) adopted across multiple product teams
  • Implement and harden AI workflows/agents (single + multi‑agent where applicable): routing, planning, delegation, state management
  • Build robust tool execution patterns: structured outputs, retries/timeouts, idempotency, safe fallbacks
  • Improve RAG pipelines: ingestion, chunking, embeddings, retrieval, re‑ranking, grounding/citations, freshness
  • Partner with product teams to take AI features from prototype → production → measurable outcomes
  • Mentor engineers via PR reviews, shared patterns, and practical enablement

What we’re looking for

  • Senior‑level backend engineering experience with strong systems fundamentals
  • Production experience delivering LLM‑powered features (agents, tool/function calling, RAG, workflow orchestration)
  • Experience with Azure OpenAI / OpenAI integrations (tool calling, structured outputs, reliability patterns)
  • Strong collaboration skills—comfortable working across multiple teams and priorities

Nice to have

  • Platform engineering experience (shared components used across teams)
  • Familiarity with orchestration frameworks (Semantic Kernel / Microsoft agent frameworks / similar)

What We Offer

  • Direct responsibility for shaping and evolving a shared AI platform that powers multiple product teams and customer‑facing capabilities
  • The opportunity to evolve real, production AI systems—not prototypes—into scalable, reliable platform components
  • High‑impact work with measurable outcomes across quality, grounding accuracy, reliability, latency, and cost
  • A hands‑on senior role with architectural influence and technical leadership through code
  • Collaboration with experienced product and engineering teams focused on shipping practical AI solutions
  • Remote‑first flexibility within Canada
  • Competitive compensation aligned with senior‑level impact and experience
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