Operations AI Engineers
Core
Design and develop AI/ML models for supply chain, logistics, and operations optimization; build predictive analytics and agentic decision-support tools for large-scale operational networks.
Role type
Operations AI Engineer
Builds
AI-driven solutions for supply chain and logistics optimization
Domain
Supply chain, logistics, operations
Deliverable
production ML models | product features
Required skills
Python, SQL, TensorFlow, Pytorch, scikit-learn, agentic AI frameworks (LangChain, AutoGen, CrewAI), vibe coding tools (Cursor, Claude), LLMs, prompt engineering, AI orchestration
Preferred skills
Data visualization (Power BI, Tableau), domain knowledge in supply chain/logistics/operations
Technologies
Cursor, Claude, GitHub Copilot, Windsurf, LangChain, AutoGen, CrewAI, TensorFlow, PyTorch, scikit-learn, Power BI, Tableau
Responsibilities
Design and develop AI/ML models for operations optimization; Build and deploy predictive analytics and automated solutions; Develop AI-based agentic decision-support tools; Leverage vibe coding and AI-assisted development environments; Design multi-agent systems for end-to-end workflows; Translate operational challenges into scalable AI solutions; Present analytical findings to senior client leadership
Seniority
Mid-level, hands-on IC
