AI Engineer
Core
Design, develop, and deploy AI-powered systems including LLM integrations, agentic workflows, and intelligent automations to optimize global logistics operations for merchants.
Role type
AI Engineer (LLM & Agentic Systems)
Builds
AI features for B2B portal, internal tooling, and merchant-facing products
Domain
Logistics / Supply Chain / B2B SaaS
Deliverable
production ML models | product features
Required skills
LLM API integration, prompt engineering, RAG pipelines, agentic workflows, Python, TypeScript/JavaScript, vector databases, AI system evaluation
Preferred skills
MCP (Model Context Protocol), AI agent orchestration, multi-step tool-use workflows, logistics/supply chain domain knowledge
Technologies
Anthropic Claude, OpenAI GPT, LangChain, LlamaIndex, Pinecone, Weaviate, pgvector
Responsibilities
Design and build AI-powered features across B2B portal and internal tooling; Translate ambiguous business problems into well-scoped AI solutions; Build, evaluate, and iterate on AI systems using an experiment-driven approach; Collaborate with product, operations, and engineering teams to identify high-leverage AI opportunities; Develop internal AI tooling and skill frameworks for non-technical teams; Integrate with third-party AI APIs and MCP-based tooling; Maintain observability over deployed AI systems
Seniority
Mid-level, hands-on IC