Applied AI Engineer; Deadline

Applied AI Engineer (Final date to receive applications: July 16th) About HqO

HqO is connecting real estate to people with an asset-agnostic suite of applications and services that create best-in-class, dynamic end-user experiences.

HqO is leading the transformation of the way people experience real estate by converging data, technology, and the customer. Empowering data-driven strategies and real estate decisions, we are redefining how people experience space, and helping create vibrant, engaging communities. We are a 100-person company that moves fast, operates with high ownership, and takes AI seriously.

We're hiring our first Applied AI Engineer: someone who will embed directly with our Operations and Dev Ops teams to identify high-leverage problems, build production-grade AI agents and automations, and ship tools that make the company measurably more effective.

We care less about where you trained and more about what you've built. We look for slope over intercept. If you have high agency, move with urgency, and get energized by turning ambiguous problems into working systems — read on.

• Embed with Operations and Dev Ops to surface workflow inefficiencies and translate them into scoped, buildable solutions.
• Own problems end-to-end — discovery, design, build, deploy, iterate — not just execution on a handed-down spec.
• Partner directly with team leads and the COO to prioritize work that moves the needle on speed, accuracy, and operational leverage.

• Design and implement LLM-powered automations, agent workflows, and internal tools that reduce manual work and unlock team capacity.
• Build agentic systems that chain tasks, take actions, and integrate with HqO’s internal stack — CRM, ticketing, infrastructure tooling, customer workflows.
• Deploy MCP modules and agent-to-agent frameworks where they create genuine operational leverage, not just technical novelty.
• Use AI-assisted coding tools (Claude, Cursor, Copilot) to prototype fast, gather feedback early, and iterate toward production-ready systems.

• A shipped tool that nobody uses is not a win. You’ll own rollout, drive adoption, and define how success gets measured.
• Document what you build so others can maintain and extend it without you in the room.
• Surface patterns from deployments that inform HqO’s broader AI Operating Model and platform direction.

• Help teams move from basic AI usage to structured workflows, deeper integrations, and agent orchestration.
• Extend HqO’s existing foundation of 15+ deployed agents rather than starting from scratch — understand the stack, improve it, build on top of it.
• Act as a visible builder: contribute to a company culture where experimentation is the default and AI fluency is expected.

We’re open to a variety of backgrounds. The signal we care most about is your ability to build and ship real things with AI.

• Demonstrated experience building something real with AI — a side project, automation, internal tool, or workflow that shipped and was used by people other than you.
• Comfort using AI-assisted coding tools (Claude, Cursor, Copilot) as a core part of your development process.
• Working knowledge of Python and/or modern scripting and backend tooling.
• Familiarity with LLM APIs, agentic patterns, and how to connect systems via APIs and webhooks.
• Ability to work on-site in Boston full-time.
• High agency: you define the problem, scope the solution, and push it forward without waiting to be told what to do next.

• Experience building agentic AI workflows — multi-step reasoning, tool use, orchestration, chaining.
• Exposure to RAG systems, embeddings, or vector databases.
• Experience integrating APIs or working across SaaS systems (Hub Spot, Linear, Slack, Jira, or similar).
• Familiarity with MCP modules or agent-to-agent communication frameworks.
• Exposure to frontend or full-stack development — you can build a lightweight UI when the problem calls for it.
• Background in SaaS, Prop Tech, or B2B operations is a plus but not required.
• Compute…