Founding AI Engineer & Architect en The Link Housing

The mission

The $20B+ insurance-displaced housing industry runs on email, spreadsheets, and phone calls. We're going to be the company that changes that. Our bet: the relocation company with the best AI infrastructure wins this decade — by responding faster, matching better, and operating at 5–10x the throughput of competitors.

The current stack

Our 8-agent SAM.gov pipeline scans federal solicitations, extracts requirements from fillable PDFs, and drafts responses. Our EA agent triages email across two Gmail accounts and syncs to Monday.com. Orchestration on a dedicated mini-PC, MCP servers, integrations with SAM.gov, Google Places, and our CRM. All built on Claude.

What's next

Voice agents for landlord outreach. Computer-use agents for property scouting. RAG over placement history. Customer-facing tools.

The team

Lean operating team of ~8. The founder built the current stack and will be your direct technical partner. You own the AI roadmap.

Postulaciones en getonbrd.com.

Required

• 5+ years of software engineering experience, with at least 2-3 years building production LLM applications
• Deep, hands-on experience with the Anthropic Claude API — you've shipped real systems with it, not just experimented
• Demonstrated ability to design and own multi-agent systems end-to-end (orchestration, tool use, error handling, evals, observability)
• Strong opinions about agent architecture, prompt engineering, and how to make LLM systems reliable in production
• Comfortable being the most senior technical person on AI in the room, including with the founder
• Strong Node.js skills, or Python with willingness to work in Node
• Excellent written and verbal English — you'll be in customer conversations, partner meetings, and architectural discussions

Bonus

• Experience with MCP (Model Context Protocol) servers
• Background in real estate, insurance, or government contracting
• Open-source contributions to AI/LLM tooling
• Prompt evaluation or testing framework experience
• PDF parsing pipelines (pdf-lib, pdftotext, pdf-parse)
• Windows server / Task Scheduler familiarity

Mindset You think in systems, ship fast, and care about reliability. You're equally comfortable debugging a flaky API integration and designing a new agent architecture from scratch.

You're hungry. You read the Anthropic changelog the day it drops. You've tried MCP. You have opinions about prompt structure. AI isn't your job — it's the thing you'd be doing in your free time anyway.

You take ownership. If a customer-facing agent fails, you don't wait to be told — you find out, fix it, and write up what changed. You think like a founder. You don't just ship features; you think about what shipping this feature does for the business. You ask "what would 10x this?" and then go build it. You see the AI infrastructure as a competitive moat, not a tech stack.