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CAI Stack

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About

CAI Stack is an autonomous generative AI platform trusted by 50+ leading enterprises. It offers AI solutions for retail, finance, and media, focusing on automating workflows, cutting costs, and optimizing operations. The platform supports the entire AI lifecycle, from data ingestion to deployment, with enterprise-grade security and seamless integration. It includes solutions like AI Discovery, Store & Space Optimization, AI Merchandising, Demand Performance, Financial AI Agent, Fraud Prevention, KYC & CDD, Customer Intelligence, Recommendation Engine, Audience Pulse, Performance Forecasting, AI HR Agent, AI Sales Agent, AI Marketing Agent, Contact Center Agent, and Workflow Automation. Products include the CAI Platform, AI Human Assist, and SupplyChain AI. CAI Stack also boasts cost management features and various integrations with popular tools.

Platform
Web
Task
ai solutions

Features

personalized recommendations

ai-powered search engine

intelligent document processing

fraud prevention

anti-money laundering (aml)

store layout optimization

actionable customer insights

automated kyc & cdd

FAQs

What is CAI Stack and what does it offer?

CAI Stack is an AI-driven suite designed to optimize business operations, improve customer experiences, and help make smarter decisions in industries like retail, finance, and media. It offers AI-driven solutions, including AI-powered Search Engine, Personalized Recommendations, Fraud Prevention, Automated KYC & CDD, Anti-Money Laundering (AML), Intelligent Document Processing, and actionable customer insights. It empowers businesses to optimize store layouts, merchandising strategies, and inventory forecasting, with advanced AI Agents helping them stay competitive with scalable, secure AI solutions. Products include CAI Platform, AI Human Assist, and SupplyChain AI. CAI Stack drives business success and change for long-term growth.

Job Opportunities

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CAI Stack

DevOps Engineer- Big Data

Autonomous Generative AI platform for automating workflows, cutting costs, and optimizing operations in retail, finance, and media.

engineeringonsiteBengaluru, INfull-time

Experience Requirements:

  • 3+ Years Exp.

  • DevOps Skills: CI/CD Pipeline | Terraform or CloudFormation | Ansible, Puppet, or Chef | Docker and Kubernetes | Git

  • Big Data Technologies: HDFS, MapReduce, Hive, Pig, Spark | Cassandra, MongoDB, HBase | Apache Kafka

  • Programming and Scripting: Java, Python, or Scala

  • Cloud Platforms: AWS, Azure, or Google Cloud | AWS EMR, Azure HDInsightSecurity: Knowledge of security best practices for infrastructure and dataProblem-Solving and Troubleshooting

Responsibilities:

  • Big Data DevOps Engineer specializing in data infrastructure and operations

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Data Science Engineer (SDE I)

Autonomous Generative AI platform for automating workflows, cutting costs, and optimizing operations in retail, finance, and media.

Experience Requirements:

  • 4+ Years Exp.

  • Programming Languages: Python, R, or Java

  • Data Analysis and Modeling: sci-kit-learn, TensorFlow, PyTorch

  • Database and Data Manipulation: Big data technologies like Apache Spark

  • Data Visualization: Tableau, Matplotlib, or Seaborn.Data Engineering: Understanding of data pipeline architecture and development.Machine Learning Deployment: Knowledge of deploying machine learning models into production. | Docker

Responsibilities:

  • Data Science Engineer I - Analyze data, drive insights, and innovate solutions

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Product Manager-Decision Science

Autonomous Generative AI platform for automating workflows, cutting costs, and optimizing operations in retail, finance, and media.

Experience Requirements:

  • 4+ Years Exp.

  • Product Management Skills: Experience in product management, preferably in a technology or AI-related field.

  • Decision Science Expertise: Experience in designing algorithms and models to support decision-making processes.

  • AI and Machine Learning Knowledge: TensorFlow, PyTorch, or scikit-learn

  • Data Analysis and Statistics:Technical Proficiency: Python, R, or JavaCommunication and Leadership | Business Acumen | Problem-solving and Critical Thinking

Responsibilities:

  • Product Manager specializing in Decision Science for data-driven innovation

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1/28/2025

Automate workflows, cut costs, and optimize operations with AI solutions. Empower your enterprise with agility, scalability, and innovation-driven technology.

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