Company profile

Factored Tech Stack

Nearshore AI, ML and data engineering teams for tech companies

Data Infrastructure and Analytics Mountain View, California 201–500 employees Privately Held

Factored staffs and builds data science, ML and AI engineering teams for technology clients, with delivery work spanning recommender systems, RAG pipelines and multi-agent workflows. The stack is multi-cloud (AWS, GCP, Azure, Databricks) with a heavy GenAI layer of LangGraph, LangChain, LlamaIndex and OpenAI, and accelerating, senior-weighted engineering hiring in Colombia and the US alongside finance pains around revenue recognition and billing.

Tech Stack 76 technologies

Core StackPower BI Tableau Databricks Apache Spark Python TensorFlow PyTorch scikit-learn AWS Docker Kubernetes Terraform LangChain OpenAI RAG FastAPI Django Flask MLflow AWS Lambda SageMaker PostgreSQL SQL Server Azure Data Factory GCP Azure LangGraph LlamaIndex AWS ECS Azure Synapse Analytics+46 more

What Factored Is BuildingChallenges and projects from their job posts

◆Challenges

Scaling generative AI systems
Revenue recognition and variance analysis
Billing and collections
Ensuring compliance and privacy
Delivery quality and client escalation management
Scaling search engine for talent pool

▲Active Projects

Multi-agent orchestration and agentic AI workflow architecture
LLM-integrated backends with optimized RAG pipelines
Recommender systems for product discovery
Cloud-native AI deployments across AWS, GCP, Azure
Scalable ML pipelines on Databricks
Solution pattern library and engineering CoE

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Engineering

Sales

Data

Finance

Seniority

Senior

Mid

Director

Lead

Manager

Staff

Companies like Factored

100+ Data Infrastructure and Analytics companies running AWS and Python

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About Factored

Factored is a privately held company headquartered in Mountain View, California, with 201–500 employees. It assembles and upskills engineering teams specializing in machine learning, data engineering, data analytics, data science and AI for technology companies. Client work covers recommender systems, scalable ML pipelines on Databricks, LLM-integrated backends and cloud-native AI deployments across AWS, GCP and Azure. The company hires in Colombia and the United States, with engineering as its largest function and supporting sales, data, finance and HR teams.

HeadquartersMountain View, California

Company Size201–500 employees

Hiring MarketsColombia, United States

Frequently Asked Questions

What tech stack does Factored use?

Factored works with Python, PyTorch, TensorFlow, scikit-learn, Databricks, Apache Spark, MLflow, LangChain, LangGraph, LlamaIndex, OpenAI, FastAPI, Docker, Kubernetes, Terraform, and AWS, GCP and Azure.

What countries does Factored hire in?

Factored is hiring in Colombia and the United States, with demand concentrated in senior engineering roles plus sales, data and finance positions.

What is Factored working on?

Current projects include recommender systems for product discovery, agentic AI workflow architecture, multi-agent orchestration, RAG pipeline optimization, and scalable ML pipelines on Databricks.

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How this profile is built

Factored's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.