Senior AI Platform Engineer, Agentic Systems & MCP

Role Summary

• •Design and build production-grade agentic AI systems for supply-chain traceability, sustainability, and compliance workflows.
• •Develop MCP-compatible tool servers enabling secure, permissioned, and auditable AI agent interactions.
• •Create and maintain graph-based and semantic data models for complex supply-chain entities and regulations.
• •Implement evaluation frameworks and guardrails to ensure AI system reliability, safety, and observability.
• •Collaborate cross-functionally with product, design, and data teams to transform complex workflows into AI-powered features.

About the Company

• •CommonShare focuses on building infrastructure for transparent, sustainable, and resilient supply chains.
• •The company operates at the intersection of supply chain, sustainability, compliance, and AI technology.
• •They emphasize collaboration among diverse ecosystem partners including suppliers, auditors, and certification bodies.
• •CommonShare is a fast-moving startup with a strong mission-driven culture centered on regulatory compliance and climate impact.
• •Their platform supports emerging regulations like EUDR, ESPR, UFLPA, CBAM, CSRD, and Digital Product Passports.

What You Should Know

• •Role requires operating in a fast-paced startup environment with ambiguity and high ownership.
• •Candidates should have strong product judgment to build useful AI systems solving real user problems.
• •Opportunity to work on cutting-edge agentic AI, semantic models, and federated data architectures.
• •Applicants should be comfortable shipping secure, auditable, and scalable AI-native production systems.
• •Interest or experience in sustainability, supply chains, compliance, or climate-related data is highly valued.

Key Required Skills