QAD, Inc.

QAD is seeking a Software Engineer II to build and own scalable full-stack features for its enterprise SaaS platform powering intelligent manufacturing. The role combines frontend and backend development, technical mentorship, performance optimization, and cloud-native architecture exposure.

Lead the long-term technical direction of QAD’s enterprise-scale SaaS platform and Agentic AI initiatives as its most senior individual-contributor architect. This Pune-based role combines executive-level technology strategy with hands-on architecture, design reviews, governance, and technical mentoring.

Build and operate production-grade AI and agentic workflows for QAD’s enterprise AI platform, spanning retrieval, orchestration, evaluation, and production operations. As the first dedicated engineering hire in the AI CoE, you will establish reusable components and engineering standards used by internal teams and implementation partners.

Own quality validation for a multi-agent AI product by testing agent reasoning, tool use, orchestration, handoffs, and response quality. You will build evaluation frameworks and regression suites for evolving, non-deterministic LLM-driven workflows.

Senior Principal Full Stack Software Engineer serving as the highest-level individual technical contributor, owning enterprise-scale architecture and engineering strategy across frontend and backend systems. The role combines hands-on development, cross-functional technical leadership, mentorship, and organization-wide influence.

Lead the architecture and technical direction of an enterprise AI platform that enables repeatable, production-grade AI and agentic workflows at scale. This hands-on leadership role turns ambiguous business requirements into build-ready designs while owning platform standards, identity, evaluation, observability, reliability, and cost architecture.

Lead the architectural vision for QAD’s next-generation AI-native, agentic supply chain platform. This hands-on technical authority will shape full-stack systems, establish engineering standards, and mentor senior technical leaders across teams.

Build the AI-first operating system for QAD’s revenue organization by shipping custom integrations, LLM-powered tools, and agentic workflows across Sales, Marketing, RevOps, and Customer Success. This hybrid engineering and revenue strategy role focuses on pipeline growth, deal velocity, automation, data quality, and technology spend optimization.