AI Engineer

3 months, 2 weeks ago
Full-time
Mid Level
Software Development
Portless

Portless

Portless is a direct fulfillment platform and third-party logistics (3PL) provider based in Shenzhen, China. It specializes in helping eCommerce brands ship orders directly from Asian manufacturing hubs to customers worldwide. By operating a 170,000 sq. ft. fulfillment center near factories, Portless significantly reduces lead times to as little as 5-6 days, offering a domestic-like experience for international shipments. The company provides a range of services, including direct fulfillment with local packaging and custom branding, and delivers to over 55 countries using domestic last-mile carriers. Portless integrates seamlessly with eCommerce platforms like Shopify and WooCommerce, and offers features such as tariff deferment guidance and high pick-and-pack accuracy. With no minimum order requirements, Portless supports brands in scaling efficiently by fulfilling actual demand post-production. The company has shipped 2.9 million packages globally and is recognized for its innovative approach to logistics, helping midmarket DTC brands expand internationally.

logistics & supply chain
11-50
$18M raised

Description

  • Design and build AI-powered features across the B2B portal, internal tooling, and merchant-facing products.
  • Translate ambiguous business problems into well-scoped AI solutions, including prompt engineering, RAG pipelines, and agentic workflows.
  • Build, evaluate, and iterate on AI systems using an experiment-driven approach that balances quality, latency, and cost.
  • Collaborate 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 help non-technical teams use AI in daily work.
  • Integrate third-party AI APIs and MCP-based tooling while maintaining security and reliability standards.
  • Monitor deployed AI systems for regressions, prompt drift, and model performance degradation.
  • Work independently in a remote environment with strong ownership and minimal oversight.

Requirements

  • 3+ years of software engineering experience, including at least 1–2 years building production AI or ML systems.
  • Hands-on experience with LLM APIs such as Anthropic Claude and OpenAI GPT, plus prompt engineering best practices.
  • Strong programming skills in Python and/or TypeScript/JavaScript.
  • Experience building backend services and lightweight frontend interfaces.
  • Experience with RAG pipelines, embedding workflows, or agentic systems using frameworks like LangChain or LlamaIndex.
  • Familiarity with vector databases such as Pinecone, Weaviate, or pgvector, 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 or testing frameworks for LLM-based systems.
  • Logistics, supply chain, or B2B SaaS experience is a strong plus.
  • Experience with MCP, AI agent orchestration, or multi-step tool-use workflows is a bonus.

Interested in this position?

Apply directly on the company website

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