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Staff Applied AI Engineer — Auggie Platform - CANADA (Remote)
Высокий балл за работу в Series C стартапе с отличным финансированием и передовым стеком (Anthropic, LangGraph). Позиция предлагает реальное влияние на продукт и работу на острие AI-технологий.
Сложность вакансии
Роль требует исключительного сочетания 8+ лет опыта в бэкенд-разработке и глубокой экспертизы в создании реальных (не прототипных) мультиагентных AI-систем. Высокая планка ожиданий к автономности и лидерским качествам уровня Staff.
Анализ зарплаты
Зарплата в вакансии не указана, но для позиции уровня Staff Applied AI Engineer в Канаде рыночные показатели значительно выше средних по IT-сектору из-за дефицита специалистов по агентным системам.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Applied AI Engineer position at Luxury Presence. As an engineer who already lives in the terminal and integrates Claude Code into my daily workflow, I am inspired by your vision of a world where humans design systems and AI builds them. My background in building production-grade multi-agent systems and orchestrating complex business workflows aligns perfectly with the goals of the Auggie Platform team.
With over 8 years of experience in software engineering and a deep focus on agentic AI, I have successfully moved beyond simple chatbot interactions to creating structured, multi-step operations using LangGraph and MCP. I am particularly excited about the opportunity to architect auto-generated application UIs and own the integration layer for autonomous agents. I thrive in high-growth environments and look forward to bringing my expertise in TypeScript, Node.js, and distributed systems to help Luxury Presence reach its $100M ARR milestone.
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Описание вакансии
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.
The Opportunity
We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else.
As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like.
What You'll Do as a Staff Engineer on Our Auggie Platform Team
Here are examples of the kinds of initiatives you'd work on today:
Multi-agent orchestration and execution. Design and build the core systems that let multiple autonomous agents collaborate, delegate, and execute complex business workflows in production — not chatbot interactions, but structured multi-step operations running across real business data.
Autonomous workflow automation. Build the automation layer that turns business processes into agent-driven workflows with structured data models, conditional logic, and human-in-the-loop review queues that keep autonomous systems safe and reliable.
Auto-generated application UIs. Architect the systems that dynamically generate functional user interfaces from agent outputs and structured data models, letting non-technical users interact with AI-powered applications without writing code.
Platform integration and MCP infrastructure. Own the integration layer connecting Auggie to internal and external systems — building MCP servers, managing agent-to-system communication, and enabling the platform to operate across tools like Slack, Notion, Salesforce, and custom data sources.
What We're Looking For
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
Join us in shaping the future of real estate
The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages.
We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition.
Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date.
More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner.
Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform.
Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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Навыки
- TypeScript
- AWS
- Python
- LLM
- Kubernetes
- PostgreSQL
- RAG
- Prompt Engineering
- Redis
- Distributed Systems
- Event-Driven Architecture
- Temporal
- Node.js
- LangGraph
- Anthropic Claude
Возможные вопросы на собеседовании
Проверка практического опыта работы с современными фреймворками оркестрации агентов.
Расскажите о самом сложном кейсе внедрения мультиагентной системы в продакшн: как вы решали проблему зацикливания или конфликтов между агентами?
Оценка понимания архитектурных паттернов для работы с LLM.
Какие стратегии валидации структурированного вывода (structured output) вы считаете наиболее надежными для критически важных бизнес-процессов?
Проверка навыков проектирования масштабируемых систем.
Как бы вы спроектировали инфраструктуру для MCP-серверов, чтобы обеспечить безопасную и быструю интеграцию с внешними инструментами вроде Salesforce или Slack?
Оценка лидерских качеств и видения будущего разработки.
Как, по вашему мнению, использование AI-агентов в процессе написания кода должно изменить стандарты code review и тестирования в команде?
Проверка опыта работы с распределенными системами.
В каких случаях в вашей архитектуре вы бы отдали предпочтение Temporal перед стандартными очередями сообщений (SQS) при управлении жизненным циклом агента?
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