Production AI Engineer: Build Scalable LLM Systems

Zown

Toronto

On-site

CAD 100,000 - 150,000

Full time

8 days ago
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Job summary

Zown, a buyer-first real estate platform in Canada and the U.S., is hiring an AI Software Engineer to design, build, and scale AI-powered backend systems that power our homebuying tools. You'll work across the full lifecycle from backend services to LLM integration, evaluating models, building agents, and ensuring reliability, security, and cost efficiency in production.

The role emphasizes production-first engineering, observability, and collaboration with frontend, product, and infra teams to

Qualifications

  • Backend software engineering experience.
  • Experience with LLMs or generative AI.
  • Experience shipping production systems.
  • Strong API design and distributed systems knowledge.
  • Familiarity with data modeling, queues, caching, authentication, and observability.
  • Experience deploying AI/inference infrastructure.

Responsibilities

  • Design and build production-grade AI-powered backend services.
  • Integrate AI models, APIs, and inference platforms.
  • Build AI agents, workflows, and tool-calling systems.
  • Develop retrieval-augmented generation and semantic search capabilities.
  • Ensure observability, testing, and reliability of AI features.
  • Collaborate with frontend, product, and infra teams to deliver end-to-end solutions.

Skills

Backend engineering
API design
Distributed systems
LLMs / AI
Production systems
Observability
Security

Education

Bachelor's in CS/Engineering

Tools

LangChain
Docker
Kubernetes
PostgreSQL
AWS

Job description

Zown, a buyer-first real estate platform in Canada and the U.S., is hiring an AI Software Engineer to design, build, and scale AI-powered backend systems that power our homebuying tools. You'll work across the full lifecycle from backend services to LLM integration, evaluating models, building agents, and ensuring reliability, security, and cost efficiency in production.

The role emphasizes production-first engineering, observability, and collaboration with frontend, product, and infra teams to

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