Founding AI Engineer & Architect

Descripción del puesto

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.