Remote AI Engineer - LLMs, Agents & Logistics Automation

Portless; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Portless is seeking an AI Engineer to design and deploy AI-powered systems across its B2B portal, internal tooling, and merchant-facing products. You will own AI features from prompt engineering to agentic workflows and RAG pipelines, collaborating with product and engineering teams to deliver high-impact solutions.

You will build and iterate on AI systems with a rigorous experiment-driven approach, ensuring quality, latency, and cost tradeoffs are optimized.

Qualifications

• 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 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.

Responsibilities

• Design and build AI-powered features across Portless platform, 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 an experiment-driven approach — tracking quality, latency, and cost tradeoffs.
• 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 empower non-technical teams to leverage AI in 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.

Job description

Portless is seeking an AI Engineer to design and deploy AI-powered systems across its B2B portal, internal tooling, and merchant-facing products. You will own AI features from prompt engineering to agentic workflows and RAG pipelines, collaborating with product and engineering teams to deliver high-impact solutions.

You will build and iterate on AI systems with a rigorous experiment-driven approach, ensuring quality, latency, and cost tradeoffs are optimized.