Enterprise software and AI services for manufacturing, fashion, and analytics
Auriga is a 200+ person digital services firm founded in 2010, headquartered in Jaipur, focused on enterprise transformation and product development across India and overseas markets. The tech stack is Java-heavy (Spring, Spring Boot) with mature DevOps/observability (Docker, Kubernetes, Jenkins, ELK, Prometheus, Grafana) and cloud reach (AWS, Azure, GCP). Active project mix reveals a shift toward AI: LLM integration, RAG over video, vector search, and automated insights sit alongside traditional MES and ERP work—a pattern that matches broader hiring (engineering-driven, with 16 of 30 open roles in engineering) and adoption of Python and JavaScript, signaling capability expansion into data science and full-stack AI features.
Notable leadership hires: Team Lead
Auriga delivers digital solutions across enterprise modernization, product development, UI/UX design, and data science. The service portfolio spans ERP and CRM implementation, process automation, cloud migration, and AI/ML applications. Client base includes startups, mid-market corporates, government entities, and unicorn-stage companies in India and overseas. The active project list reflects two concurrent demand streams: traditional manufacturing execution systems (MES) and ERP implementations (especially ERPNext for fashion manufacturers), alongside emerging AI-driven analytics (self-service dashboards, LLM-powered search, video summarization). Engineering represents the largest hiring segment, with mid-level and senior roles predominating, indicating expansion of technical delivery capacity rather than top-line business development.
Java, Spring Boot, Python, Docker, Kubernetes, Jenkins on the core; AWS, Azure, GCP for cloud; ELK stack (Elasticsearch, Logstash, Kibana) and Prometheus/Grafana for observability; OAuth 2.0 and JWT for security.
MES implementations for manufacturing, ERPNext customization for fashion brands, LLM integration into analytics, RAG-based video search, self-service dashboards, and AI-powered coding editors. Projects indicate concurrent focus on enterprise systems modernization and generative AI features.
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