Posted 5 months ago
AI Engineer
@ Portless
Remote in Canada
Overview
Portless is hiring an AI Engineer to design, build and deploy AI-powered systems across its B2B portal, internal tooling and merchant products, including LLM integrations, AI agents and intelligent automation. The role is fully remote and requires working independently with minimal oversight. Candidates need production AI or ML experience and strong Python or TypeScript skills.
Responsibilities:
- Design and build AI-powered features and agents
- Translate business problems into AI solutions
- Build and evaluate LLM systems with experiment-driven approach
- Develop internal AI tooling for non-technical teams
- Monitor deployed AI systems for regressions and drift
Requirements summary:
- 3+ years software engineering experience
- 1-2 years building production AI or ML systems
- Hands-on experience with LLM APIs and prompt engineering
- Python and/or TypeScript/JavaScript programming skills
- Experience with RAG pipelines or agentic frameworks
- Logistics or B2B SaaS experience a strong plus
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-05-28
- First seen by our source
- 2026-10-12
- Source record updated
- 2026-10-12
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 3+ years |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Portless
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Portless fulfills e-commerce orders directly from China, shaving months of time and saving you $$$ along the way.
Full company description
Build a healthier business with Portless. Portless fulfills e-commerce orders directly from China to your customer's front door, massively improving lead times, decreasing your shipping costs, and lowering your import tax fees. At Portless, we have shipped over 2.5 million cross-border packages with a 99.8% pick-and-pack accuracy and 98% on-time delivery rate. We pride ourselves on providing white-glove customer service and the fastest response times in the industry.
- LinkedIn followers
- 10,158
- People associated on LinkedIn
- 64
- Reported office locations
- 159 Penn Ave, Exeter, Pennsylvania 18643, US
- 120 Adelaide St West, 2500, Toronto, ON M5H 1P9, CA
- Business categories
- E-Commerce
- Logistics
- Transportation
- Other recorded names
- Portless
- Profile identifies a recruitment agency
- No
- Reported total investment
- 18,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Build a healthier business with Portless. Portless fulfills e-commerce orders directly from China to your customer's front door, massively improving lead times, decreasing your shipping costs, and lowering your import tax fees. At Portless, we have shipped over 2.5 million cross-border packages with a 99.8% pick-and-pack accuracy and 98% on-time delivery rate. We pride ourselves on providing white-glove customer…
| Field | Value |
|---|---|
| Industry | Transportation, Logistics, Supply Chain and Storage |
| Company size | 11-50 employees |
| Headquarters | Exeter, Pennsylvania |
| Organization type | Privately Held |
| Open jobs on Jobsy | 14 |
| View page |
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
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