AI Engineer - Logistics & Sustainability Intelligent Agents
Core
Design and build intelligent, on-premise agents for automated data processing, contextual understanding, and quality assessment in logistics and sustainability domains.
Role type
Senior IC AI Engineer (Logistics & Sustainability Agents)
Builds
Intelligent agents and backend services for automated data pipelines in supply chain environments
Domain
Logistics, Supply Chain, Sustainability, Emissions
Deliverable
production ML models
Required skills
Python (production-level), ML/LLM integration, asynchronous programming, message-queuing systems, API design, data pipeline architecture, on-premise/private-cloud deployment
Preferred skills
Logistics/supply chain data knowledge, sustainability/emissions methodologies, vector databases, semantic search, agent-based architectures
Technologies
Python, Celery, RabbitMQ, Redis, LLMs, vector databases
Responsibilities
Architect AI-driven agents for data processes, build systems to analyze and transform operational datasets, ensure on-premise reliability and security, develop backend services and APIs, integrate ML/LLM systems into production infrastructure, design scalable data pipelines, collaborate on encoding domain logic, maintain CI/CD pipelines
Seniority
Senior, hands-on IC