Publié il y a 5 mois
AI Engineer
@ Portless
Télétravail au Canada
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-05-29
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Portless
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Portless fulfills e-commerce orders directly from China, shaving months of time and saving you $$$ along the way.
Description complète de l’entreprise
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.
- Abonnés LinkedIn
- 10 158
- Personnes associées sur LinkedIn
- 64
- Bureaux déclarés
- 159 Penn Ave, Exeter, Pennsylvania 18643, US
- 120 Adelaide St West, 2500, Toronto, ON M5H 1P9, CA
- Catégories d’activité
- E-Commerce
- Logistics
- Transportation
- Autres noms enregistrés
- Portless
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 18 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
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…
| Champ | Valeur |
|---|---|
| Secteur | Transportation, Logistics, Supply Chain and Storage |
| Taille | 11-50 employees |
| Siège social | Exeter, Pennsylvania |
| Type d’organisation | Privately Held |
| Offres sur Jobsy | 14 |
| Voir la 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
Journal
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