Iris.ai
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About
Iris.ai is an enterprise-grade AI development and operation platform designed for connecting, orchestrating, evaluating, and deploying Agentic RAG AI workflows. It offers a cohesive platform for building, managing, and monitoring Agentic RAG systems, empowering enterprises across industries with proven results, real savings, and trusted AI performance. Clients like ArcelorMittal have reported significant acceleration in R&D timelines and capacity to review more patents. The platform boasts over 160 million documents securely ingested, 200,000+ answers evaluated, 35%+ savings on LLM usage costs, and 80%+ acceleration on AI go-to-market. Iris.ai helps users get started through a three-stage process: Co-Create (building initial agents with experts, data ingestion, and custom evaluation frameworks), Enable (training teams on agent management, prompt crafting, and CI/CD practices), and Expand (customer-led scaling, continuous monitoring, governance, and updates for operational excellence). It also emphasizes measuring what matters with a user-friendly approach to LLM evaluation.
Platform
Features
• training on agent management, prompt crafting, and ci/cd best practices
• real-time monitoring dashboard
• production-grade ai agent deployment
• custom evaluation framework establishment
• secure ingestion of enterprise data
• build, manage, and monitor agentic rag systems
• cohesive ai development and operation platform
• connect, orchestrate, evaluate, and deploy agentic rag ai workflows
Job Opportunities
Senior NLP Research Engineer
Iris.ai is an enterprise-grade AI development and operation platform that connects, orchestrates, evaluates, and deploys Agentic RAG AI workflows.
Education Requirements:
PhD degree
Experience Requirements:
Experience with Python (Programming Language)
Experience with Machine Learning
Experience with Natural Language Processing (NLP)
Experience with Large Language Models (LLM)
Other Requirements:
Published research papers or contributions to published research
Participation in open source ML/NLP projects
Currently located within a European time zone (UTC+0 to UTC+3)
Submission of an NLP Brief
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