Portless

AI Engineer (Founding seat) | Remote (North America)

hn · Remote (North America) · $180k-$230k

scored

Jose is a founding engineer with 12 years of experience shipping production systems and 2+ years actively building LLM agents and agentic workflows (LangGraph agents at Addie, SQL/Python agents at Rubercubic, data integrations at Adcopy.ai). He has strong Python and TypeScript skills, proven platform mindset (built reusable systems for others at Twilio and IPSDI), and the exact technical stack needed (FastAPI, LangChain/LangGraph, RAG patterns). However, he lacks specific domain expertise in e-commerce, 3PL, or logistics operations—his background is in AI, emergency response, and education rather than supply chain or B2B services.

Hook: Your founding AI engineer seat aligns perfectly with Jose's track record shipping 0→1 AI products end-to-end—he built a real-time voice agent platform for 10+ countries and multi-step LLM workflows at scale, and he's looking for exactly this kind of founding role.

Missing: B2B supply chain or logistics domain expertise, e-commerce or 3PL operational context, invoice/accounts payable systems experience

original posting ↗

Posting

Portless | AI Engineer (Founding seat) | Remote (North America) | $180k-$230k

AI usage today is basic — decks, spreadsheets, a few people vibe-coding dashboards. No real agentic workflows yet. This is a founding seat to build that: shipping high-impact agentic workflows yourself, plus reusable building blocks (APIs, MCP tools, docs) so any team can build their own.

Example first project: an agent for inbound invoice questions — reads the question, pulls the right invoice, drafts a context-aware reply — turning an hour of manual work into ~30 seconds.

Need: 3+ yrs SWE with 1-2+ yrs shipping production AI systems, 10+ real agentic/LLM workflows built end-to-end, a genuine platform mindset (built tools/infra for others, not just yourself), strong Python and/or TypeScript, and relevant sector background (e-commerce, 3PL, logistics, or similar B2B).

Nice to have: RAG pipelines, vector DBs, multi-step agent orchestration, eval frameworks.

Full JD + Apply: https://uctalent.io/referral/Huynh_Nhu_Bao_Nhan221138/DNwhgwstew8NptdHHFkpK?utm_source=headhunter&utm_medium=referral