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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
Web
Task
workflow orchestration

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

Iris.ai favicon
Iris.ai

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.

engineeringremoteother

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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