Senior Applied AI Engineer – Supply Chain
Core
Architect and deploy enterprise-grade autonomous AI agents and LLM systems to optimize global supply chain operations, including real-time decision-making, inventory management, and logistics automation.
Role type
Senior Applied AI Engineer (Supply Chain)
Builds
Autonomous multi-agent systems, conversational AI interfaces, and real-time event-driven data pipelines for logistics.
Domain
Supply Chain / Logistics / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, LLM orchestration (LangChain, LangGraph, AutoGen), Vector databases, Distributed systems, Containerization (Docker, Kubernetes), Cloud infrastructure (AWS)
Preferred skills
Supply chain domain expertise, ERP architecture (SAP, Oracle), Custom AI evaluation frameworks, Data streaming (Kafka, Spark)
Technologies
AWS Bedrock, Langfuse, LangGraph, CrewAI, AutoGen, Semantic Kernel, Pinecone, Weaviate, Kafka, Spark, Docker, Kubernetes, Power BI, Tableau, Looker
Responsibilities
Architect and scale robust Conversational AI applications; Lead development of sophisticated agentic workflows for autonomous actions; Build event-driven data streaming pipelines for proactive alerting; Evaluate and migrate agentic orchestration frameworks; Mentor junior engineers and establish LLMOps standards; Design and deploy semi- and fully autonomous AI agents; Integrate AI systems with data warehouses and operational APIs.
Seniority
Senior, hands-on IC with mentorship responsibilities
