Enterprise AI platform for agentic automation and data integration
Uniphore is a 501–1,000-person enterprise AI platform company founded in 2008, now scaling toward real-time conversational AI and agentic workflows. The tech stack (Java, Python, Go, Rust, Kafka, PostgreSQL, MongoDB, BigQuery, Databricks, LangChain, crewAI) reveals a company building stateful, polyglot infrastructure for AI model deployment and orchestration at scale. Hiring is accelerating across engineering (48 roles), sales (31), and product (20), with leadership gaps in AI direction and UI/UX—signaling aggressive buildout of agent capabilities and user-facing product polish.
Notable leadership hires: Corporate Development Head, UI/UX Director, Sales Director, AI Director, Director Engineering
Uniphore builds a sovereign, composable AI platform for enterprise deployment of agentic workflows and conversational AI. The product connects enterprise data, fine-tunes language models, and orchestrates AI agents across business processes—positioned between consumer-grade simplicity and enterprise-grade security, governance, and compliance. Active projects span real-time conversational AI, voice automation, process automation integration, and customer-specific agent applications. The company serves more than 2,000 businesses globally, with recent expansion into whitespace analysis, territory planning, and analytics platforms. Current pain points cluster around procurement complexity, language model optimization, enterprise adoption velocity, and cross-cloud orchestration.
Uniphore uses Java, Python, Go, Rust for core services; Spring, Vert.x, Spring Boot for application frameworks; PostgreSQL, MongoDB, Kafka for data layer; Databricks, BigQuery, Spark for analytics; LangChain, crewAI, LangGraph for AI orchestration; and Kubernetes, AWS, Azure for cloud infrastructure.
Uniphore is hiring across India, United States, Saudi Arabia, Australia, United Kingdom, and Spain, with seniority mix weighted toward senior (62), director (19), and staff (15) levels.
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