AI-powered resume parsing and talent acquisition automation platform
RChilli builds AI-driven resume parsing and candidate screening tools for enterprise talent acquisition. The tech stack reveals a multi-cloud strategy (AWS, GCP, Azure) paired with heavy investment in agentic AI systems—currently adopting SAP AI Core while deploying multi-agent architectures and an AI agent marketplace. Active projects show movement beyond parsing into workflow automation and autonomous recruiting agents, while pain points around scaling autonomous systems and recruiting process optimization signal the company is shifting from a parsing-first product toward end-to-end hiring automation.
RChilli is a San Ramon-based AI solutions provider focused on automating talent acquisition for mid-market and enterprise organizations. The core product suite includes resume parsing, candidate matching, and profile enrichment—designed to reduce manual data entry, eliminate incomplete candidate records, and accelerate time-to-hire. The company operates a distributed hiring footprint across India, Philippines, and Bangladesh, with current hiring concentrated in marketing and mid-level engineering roles. Organizations use RChilli to integrate with major ATS platforms (SAP SuccessFactors, Oracle) and streamline end-to-end recruiting workflows.
RChilli uses AWS Bedrock, Vertex AI Agent Builder, Azure AI Studio, and Azure AI Agent Service for its AI capabilities. The company is currently adopting SAP AI Core to expand automation within enterprise recruiting stacks.
RChilli's infrastructure spans AWS, GCP, and Azure, with Python and Node.js for backend development. Deployment uses Kubernetes and Docker, with Jenkins for CI/CD. Data layer relies on MySQL, Cloud SQL, and SQL Server; monitoring via New Relic, Prometheus, and Site24x7.
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