Applied AI Engineer (Application Deadline: July 16th)

About the role

HqO is leading the transformation of the way people experience real estate by converging data, technology, and the customer. Our REX Platform is used by leading commercial real estate owners and occupiers to activate their spaces, engage tenants, and measure what matters. We are a 100-person company that moves fast, operates with high ownership, and takes AI seriously.

Responsibilities

• Identify and own high-leverage problems
• Embed with Operations and DevOps 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
• Build and ship AI-powered systems
• 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
• Drive adoption and measure impact

Qualifications

• 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
• Familiarity with 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
• Strong signals: 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 (HubSpot, Linear, Slack, Jira, or similar)
• Exposure to frontend or full-stack development — you can build a lightweight UI when the problem calls for it
• Background in SaaS, PropTech, or B2B operations is a plus but not required
• Computer Science degree not required — portfolio of shipped work matters more