Resilinc operates a supply chain risk platform built on Angular, TypeScript, and SAP integration, now heavily investing in agentic AI workflows and LLM validation infrastructure. The project list and hiring mix reveal an engineering org (9 of 15 active roles) shifting toward AI-native architecture—including an agentic workflow UI, agent testing framework, and model validation suite—while managing core pain points around real-time disruption prediction and model fairness, which points to both product expansion and operational maturity challenges.
Resilinc provides supply chain risk and compliance solutions for enterprises managing global supplier networks. The platform combines supplier-validated data with AI to help organizations anticipate disruptions, map multi-tier supplier relationships, and respond to supply continuity threats. The company operates in the mid-market and enterprise segment, addressing use cases spanning conflict minerals compliance, capacity risk assessment, and business continuity planning. Headquartered in Milpitas, California and founded in 2010, Resilinc employs 201–500 people and maintains engineering and sales presence across the United States and India.
Angular, TypeScript, JavaScript, RxJS, NgRx for frontend; Jasmine and Protractor for testing; Webpack and npm for build; SAP, Salesforce, Databricks, and Gainsight for backend and data layers.
Yes. Engineering represents the largest department (9 of 15 active roles), with seniority skewed senior (10 senior-level positions across the org). Hiring spans United States and India.
Agentic AI workflows, LLM model validation, AI agent testing frameworks, bias and fairness auditing for AI models, and high-performance web application scalability—alongside core supply chain risk and real-time disruption assessment features.
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