AI Engineer

🕒 May 29

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Portless

WebsiteLinkedInAll Job Openings

11 - 50 employees

🛍️ eCommerce

📦 Logistics

💳 Fintech

eCommerce • Logistics • Fintech

Portless is a logistics and fulfillment platform that specializes in direct-to-consumer (DTC) e-commerce shipping, allowing businesses to fulfill orders directly from China to their customers' doorsteps. By streamlining shipping processes and reducing costs, Portless improves margins and cash flow for its clients, enabling them to respond efficiently to actual customer demand. The company also offers integrations with popular e-commerce platforms, making international shipping seamless and effective.

📋 Description

• Design and build AI-powered features across our B2B portal, internal tooling, and merchant-facing products — including LLM integrations, AI agents, and intelligent automations • Translate ambiguous business problems into well-scoped AI solutions, from prompt engineering and RAG pipelines to full agentic workflows • Build, evaluate, and iterate on AI systems using a rigorous experiment-driven approach — tracking quality, latency, and cost tradeoffs • Collaborate closely with product, operations, and engineering teams to identify high-leverage AI opportunities and deliver them end-to-end • Develop internal AI tooling and skill frameworks that empower non-technical teams to leverage AI in their daily workflows • Integrate with third-party AI APIs (Anthropic, OpenAI, etc.) and MCP-based tooling while maintaining security and reliability standards • Maintain observability over deployed AI systems — monitoring for regressions, prompt drift, and model performance degradation • Work independently in a remote environment with a strong sense of ownership and ability to ship with minimal oversight

🎯 Requirements

• 3+ years of software engineering experience, with at least 1–2 years focused on building production AI or ML systems • Hands-on experience with LLM APIs (Anthropic Claude, OpenAI GPT, etc.) and prompt engineering best practices • Strong programming skills in Python and/or TypeScript/JavaScript; comfortable building both backend services and lightweight frontend interfaces • Experience building RAG pipelines, embedding workflows, or agentic systems using frameworks like LangChain, LlamaIndex, or similar • Familiarity with vector databases (Pinecone, Weaviate, pgvector, etc.) and semantic search patterns • Experience working cross-functionally with non-technical stakeholders to scope and deliver AI projects • Proven ability to evaluate AI output quality and build evals/testing frameworks for LLM-based systems • Logistics, supply chain, or B2B SaaS experience is a strong plus • Experience with MCP (Model Context Protocol), AI agent orchestration, or multi-step tool-use workflows is a bonus