Here's the anonymized JD for Loxo:

Founding AI Engineer – E-Commerce / Supply Chain Tech

Series A | Fully Remote | North America

About the Company

A Series A company rebuilding the global e-commerce supply chain. The platform lets brands ship directly from manufacturing hubs to consumers worldwide — with a fully domestic delivery experience, local carrier, local tracking, and 3–5 day delivery. This compresses traditional supply chain timelines from roughly 4 months down to a single day, freeing up cash flow that brands reinvest into growth.

Revenue has doubled to tripled every year since launching the B2B model. The core customer base is DTC brands doing $1–50M in revenue, ranging up to enterprise and public companies. The founding team has a prior venture-backed exit, and the long-term vision is to take the entire supply chain off merchants' hands so they can focus on product, brand, and marketing.

Fully remote, globally distributed team with a strong values-driven culture.

Series A | Globally distributed team | Founded by a repeat founder with a prior exit

About the Role

This is effectively a founding AI engineer seat. The company is adopting AI across the organization, but usage today is mostly basic — there are no real end-to-end agentic workflows yet. This person builds the AI infrastructure from scratch: shipping high-impact agentic workflows themselves, and — just as importantly — building reusable building blocks (APIs, MCP tools, documentation) so any team can build their own.

It's a cross-functional, high-leverage role touching every team and working directly with leadership. Not a research role, not an ML role — this is applied AI engineering with immediate operational impact.

What You'll Own

• Build end-to-end agentic workflows that automate real operational work across the company
• Build the platform and building blocks (APIs, MCP tooling, docs) so non-specialist teammates can assemble their own workflows
• Partner cross-functionally to find the highest-leverage automation opportunities and ship them end to end
• Integrate LLM APIs (Anthropic, OpenAI, etc.) reliably and securely with full observability over deployed systems
• 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

What We're Looking For

Must Have

• 3+ years software engineering, with 1–2+ years building production AI systems
• Has built 10+ real agentic/LLM workflows end to end in production
• Platform mindset — has built tools and infrastructure for others to build on (APIs, MCP, strong documentation), not just personal tooling
• Strong in Python and/or TypeScript, comfortable across backend and lightweight frontend
• Relevant sector context — e-commerce, 3PL, logistics, or comparable B2B background

Nice to Have

• RAG pipelines, vector DBs, agent orchestration, multi-step tool use, evals frameworks
• Power user of modern AI dev tools (Cursor, Copilot, Claude Code)

A Note on Screening

This role attracts a lot of inflated AI claims. The hiring team screens hard for candidates who can demonstrate real, end-to-end agentic workflows in production — not just familiarity with LLM APIs. Pure ML/model training backgrounds without applied AI product work are unlikely to pass the hiring manager screen.

Location & Compensation

• Fully remote, North America
• Must overlap ~6 hours with US Eastern (roughly 9am–4pm ET)
• $180K–$230K base + equity