AI Engineer

About the Role

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: https://uctalent.io/referral/Huynh_Nhu_Bao_Nhan221138/erKmmo...