Staff Applied AI Engineer (Proptech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Applied AI Engineer (Proptech): Designing and building core systems for a multi-agent AI growth platform for real estate with an accent on autonomous workflow automation and multi-agent orchestration. Focus on developing structured multi-step operations, auto-generated application UIs, and MCP infrastructure to enable AI agents to execute complex business workflows.
Location: Remote (Must be based in Canada)
Company
An AI-driven growth platform for real estate, backed by Bessemer Venture Partners, scaling towards $100M ARR.
What you will do
- Design and build core systems for multi-agent collaboration and execution of complex business workflows in production.
- Develop an automation layer that turns business processes into agent-driven workflows with structured data models and human-in-the-loop review queues.
- Architect systems that dynamically generate functional user interfaces from agent outputs and structured data models.
- Own the integration layer and MCP infrastructure connecting the platform to internal and external systems like Slack, Notion, and Salesforce.
- Shape platform architecture and drive AI-powered product delivery as a technical leader.
Requirements
- 8+ years of professional software engineering experience, including significant time in senior or staff-level roles.
- Production experience building multi-agent or agentic AI systems running against real data.
- Deep familiarity with LLM integration patterns: prompt engineering, tool use, RAG pipelines, and structured output parsing.
- Strong backend engineering fundamentals in TypeScript/Node.js and event-driven architectures.
- Must be based in Canada.
Nice to have
- Experience with MCP servers, LLM-based validation, or spec-driven development workflows.
- Experience working in a startup or high-growth environment.
Culture & Benefits
- AI-first engineering culture with an unlimited budget for Anthropic tokens.
- Fast-paced environment in a Series C company with high ownership and agility.
- Focus on using AI agents to write, review, and ship production code daily.
- Collaborative team culture that celebrates wins and values technical craft.
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