Creai Tech Stack

Custom AI solutions built on ML ops and LLM integration

Software Development Mexico City, Ciudad de México 51–200 employees Founded 2023 Self-Employed

Creai builds bespoke AI systems for enterprise clients, with a full-stack approach spanning Python, Java, Node.js, TensorFlow, PyTorch, and major cloud platforms (AWS, GCP, Azure). The tech mix—RAG pipelines, MLOps tooling, LLM APIs (ChatGPT, Claude, Gemini), and workflow automation (n8n)—indicates a services firm focused on production ML deployment and conversational AI. Hiring is engineering-heavy with mid-level engineers leading active work on RAG, NLP pipelines, data poisoning detection, and deployment automation; cost optimization and delivery risk appear as recurring internal friction points.

Tech Stack 33 technologies

Core StackPython Java Node.js AWS Docker Kubernetes Scala TensorFlow PyTorch scikit-learn pandas PySpark SageMaker RAG n8n Figma Jira Confluence Git GCP Azure ChatGPT Claude Gemini OpenCV SharePoint Microsoft Graph WhatsApp Business API Notion MLOps+3 more

Adoptingn8n

What Creai Is Building

◆Challenges

Performance optimization
Scaling hr processes
Reducing costs
Data poisoning risk
Maintaining brand consistency
Resource allocation optimization
Risk management in delivery
Increasing efficiency
Efficiency improvement
Contract profitability management

▲Active Projects

Onboarding e implementación end-to-end
Rag pipeline implementation
Data poisoning detection controls
Evaluation framework implementation
Construir y configurar conversaciones de silia
Graph data modeling
Ml/nlp entity integration
Knowledge ingestion pipeline
Model deployment to production
Pipeline nlp for document classification

Hiring Activity

Accelerating35 roles · 25 in 30d

Department

Engineering

Data

Ops

Product

Sales

Executive

Marketing

Seniority

Mid

Senior

Junior

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About Creai

Creai, founded in 2023 and based in Mexico City, delivers custom AI solutions tailored to enterprise needs. The company operates a 51–200 person team structured around engineering (16 roles), data (5), and supporting ops, product, and sales functions. Active projects span RAG pipeline implementation, NLP document classification, knowledge ingestion, and model deployment workflows. The stack reflects a hands-on services model: Python-first development, containerization via Docker/Kubernetes, cloud-native deployment, and integration with LLM APIs and workflow platforms. All hiring activity is currently concentrated in Mexico.

HeadquartersMexico City, Ciudad de México

Company Size51–200 employees

Founded2023

Hiring MarketsMexico

Frequently Asked Questions

What AI technologies does Creai use?

Python, TensorFlow, PyTorch, scikit-learn, OpenCV, and PySpark for ML; ChatGPT, Claude, and Gemini APIs for LLMs; RAG pipelines and MLOps tooling for production deployment across AWS, GCP, and Azure.

What is Creai working on?

RAG pipelines, NLP entity integration, document classification, knowledge ingestion, data poisoning detection, ML model deployment, and end-to-end client onboarding and implementation.