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China Tooling Engineer Jobs (NOW HIRING)

Portless

AI Engineer

... China to destinations worldwide. As an AI Engineer, you will own the design, development, and ... Design and build AI-powered features across our B2B portal, internal tooling, and merchant-facing ...

SPAN

Senior Mechanical Engineer

San Francisco, CA · On-site

$107K - $142K/yr

Drive DFM/DFA reviews with manufacturing vendors in China and Southeast Asia, resolve tooling and ... Driving engineering change requests and design updates. * Architecting an improved international 2D ...

Architect Motors

Sr. Global Supply Manager

Alameda, CA · On-site

... engineering changes, tooling, validation, quality, and delivery. * Lead sourcing and partner ... Close the loop between China-based development and manufacturing and on-the-ground operations in ...

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China Tooling Engineer information

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$163.5K

How much do china tooling engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for china tooling engineer in the United States is $109,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $123,000.00 per year, depending on experience, location, and employer.

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Infographic showing various China Tooling Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Temporary. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $109,987 per year, or $52.9 per hour.

AI Engineer

Remote

Portless
See more jobs at Portlessexternal

Full-time

Re-posted 15 days ago

Job description

At Portless, we specialize in global delivery solutions for SMBs and enterprise merchants, enabling businesses to ship direct-from-factory from manufacturing hubs like China to destinations worldwide. As an AI Engineer, you will own the design, development, and deployment of AI-powered systems that make our operations faster, our team smarter, and our merchants more successful - from intelligent automation and agentic workflows to LLM integrations embedded across our product and internal tooling. If you're passionate about building AI systems that create real business impact, thrive in fast-moving environments, and want to work at the intersection of logistics and cutting-edge AI, we'd love to meet you.
Responsibilities:
  • 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

Apply