Software Engineer, AI Engineer (Applied​/Software)

You'll be the technical lead across our product portfolio — owning architecture, writing production code, and setting the engineering standard. This is a builder's seat, not a manager's. You'll work directly with the founder, ship into production weekly, and help define how AI agents are woven into every product we make.

• Architect and build full-stack systems across multiple products (Next.js, Node.js, Python, Postgre
  
  SQL, vector stores)
• Design multi-agent AI pipelines using Claude, Lang Chain, and local inference (we run our own GPU infrastructure)
• Own production deployments end-to-end — Cloudflare, Vercel, hosting, monitoring, SEO
• Make hard architectural calls and document them (no guessing, no "we'll figure it out later")
• Lead future engineering hires and set the bar for code quality
• Move between codebases without losing context — accounting one day, cannabis the next, scouting the day after

• Proven ability to build and ship production web applications end-to-end (frontend, backend, infra)
• Deep comfort with modern React/Next.js, Node, and Python
• Real experience integrating LLMs into products — not just calling an API, but building agentic systems, RAG pipelines, memory architectures
• Strong opinions about clean architecture and the discipline to keep things simple
• Self‑direction. You can take a one‑line problem statement and come back with a plan
• Comfort with ambiguity and multiple concurrent projects

We don't care where you went to school or how many years you've been doing this. Show us what you've built.

• Worked with multi‑agent frameworks (Lang Graph, CrewAI, custom)
• Vector DB experience (Qdrant, Pinecone, Lance
  
  DB)
• Local model hosting (llama.cpp, vLLM, Ollama)
• Built or shipped on Claude Code, Cursor, or similar AI‑augmented dev workflows
• Background in any of: accounting/fintech, cannabis tech, sports analytics, hospitality software

Prove It, Earn It, Own It

We don't believe in inflated salaries for unproven contributions. Our structure has three stages:

• Prove It
  — Paid trial period with clear deliverables. We both decide if it's a fit.
• Earn It
  — Competitive base + performance milestones tied to shipped work.