Staff Applied AI Engineer — Auggie Platform - CANADA (Remote)
Domain
Tech Stack
Must-Have Requirements
- ✓8+ years of professional software engineering experience
- ✓Meaningful time in senior or staff-level roles
- ✓Production experience building multi-agent or agentic AI systems
- ✓Deep familiarity with LLM integration patterns
- ✓Strong backend engineering fundamentals in TypeScript/Node.js
- ✓Track record of owning product-oriented technical initiatives end-to-end
Nice to Have
- -Experience with MCP servers
- -Experience with LLM-based validation
- -Spec-driven development workflows
- -Startup or high-growth experience
Description
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.
Attributes You already build with AI daily. You use Claude Code as a core part of your workflow, not as a novelty You have strong opinions, loosely held, about how AI changes software architecture, team structure, and engineering culture You think in systems. You connect technical decisions to customer outcomes and long-term business value You communicate clearly and directly. You can explain complex tradeoffs to product, design, and executive stakeholders You're energized by ambiguity and speed. You thrive in a fast-growing company where the roadmap evolves and ownership is real You like to have fun at work. We take our craft seriously, but we don't take ourselves too seriously. We celebrate wins, crack jokes, and genuinely enjoy building together
Skills and Experience 8+ years of professional software engineering experience, with meaningful time in senior or staff-level roles Production experience building multi-agent or agentic AI systems — not prototypes or demos, but systems running against real data with real users Deep familiarity with LLM integration patterns: prompt engineering, tool use / function calling, RAG pipelines, and structured output parsing Experience with agent orchestration frameworks, agent-to-agent communication, or autonomous workflow execution Strong backend engineering fundamentals: TypeScript/Node.js, event-driven architectures, and distributed systems Track record of owning product-oriented technical initiatives end-to-end, from system design through production Experience with MCP servers, LLM-based validation, or spec-driven development workflows is a strong plus Startup or high-growth experience preferred, but big-company background is fine if the AI systems experience is genuinely strong
Tech Stack Backend: Node/TypeScript, Python AI: Anthropic Claude, MCP, LangGraph Data: Postgres, Redis, SQS Infrastructure: AWS, Kubernetes, Temporal