Portless | AI Engineer | REMOTE (North America only) | Full-time | $180K-$230K + equity
Founding AI engineer seat. AI adoption at Portless today is basic (decks, spreadsheets, call summaries, a bit of vibe-coded dashboards) — no real end-to-end agentic workflows yet. You'll build the AI infrastructure: shipping high-impact agentic workflows yourself, and building reusable "Lego blocks" (APIs, MCP tools, docs) so any team can build their own. Cross-functional, high-leverage role touching every team, working directly with leadership.
Example first project: an agent for inbound invoice questions — understands the question, pulls the right invoice, drafts a context-aware reply for a teammate to click-send, turning an hour of work into ~30 seconds.
Stack: Python, TypeScript, LLM APIs (Anthropic, OpenAI), MCP, RAG, vector databases, agent orchestration, Cursor/Claude Code.
Requirements: Must be based in North America. 3+ years software engineering with 1-2+ years building production AI systems, 10+ real agentic/LLM workflows shipped end-to-end, platform mindset (built tools/infra for others, not just yourself), strong Python and/or TypeScript across backend and lightweight frontend, relevant sector background (e-commerce, 3PL, logistics, or comparable B2B).
Nice to have: RAG pipelines, vector DBs, multi-step tool-use/agent orchestration, evals frameworks.
Full JD + Apply: <a href="https://uctalent.io/referral/Huynh_Nhu_Bao_Nhan221138/erKmmo1S6rLGtq0_DJ30d?utm_source=headhunter&utm_medium=referral" rel="nofollow">https://uctalent.io/referral/Huynh_Nhu_Bao_Nhan221138/erKmmo...
uctalent · · focus · HN ↗
Founding AI engineer seat. AI adoption at Portless today is basic (decks, spreadsheets, call summaries, a bit of vibe-coded dashboards) — no real end-to-end agentic workflows yet. You'll build the AI infrastructure: shipping high-impact agentic workflows yourself, and building reusable "Lego blocks" (APIs, MCP tools, docs) so any team can build their own. Cross-functional, high-leverage role touching every team, working directly with leadership. Example first project: an agent for inbound invoice questions — understands the question, pulls the right invoice, drafts a context-aware reply for a teammate to click-send, turning an hour of work into ~30 seconds.
Stack: Python, TypeScript, LLM APIs (Anthropic, OpenAI), MCP, RAG, vector databases, agent orchestration, Cursor/Claude Code. Requirements: Must be based in North America. 3+ years software engineering with 1-2+ years building production AI systems, 10+ real agentic/LLM workflows shipped end-to-end, platform mindset (built tools/infra for others, not just yourself), strong Python and/or TypeScript across backend and lightweight frontend, relevant sector background (e-commerce, 3PL, logistics, or comparable B2B).
Nice to have: RAG pipelines, vector DBs, multi-step tool-use/agent orchestration, evals frameworks. Full JD + Apply: <a href="https://uctalent.io/referral/Huynh_Nhu_Bao_Nhan221138/erKmmo1S6rLGtq0_DJ30d?utm_source=headhunter&utm_medium=referral" rel="nofollow">https://uctalent.io/referral/Huynh_Nhu_Bao_Nhan221138/erKmmo...