F
Factored Tech Stack
AI/ML staffing and engineering services for enterprise data teams
Factored assembles and deploys distributed AI engineering teams for Fortune 500 tech companies. The stack—Python, PyTorch, TensorFlow, LangChain, RAG, FastAPI, plus AWS/Azure/GCP across compute, data warehousing (Snowflake), and orchestration (dbt, MLflow)—maps directly to their service offering: they staff roles that require hands-on fluency with modern ML infrastructure. Hiring velocity is accelerating with a senior-heavy, engineering-dominant mix (9 engineers, 4 data specialists, 3 sales roles across 201–500 headcount), indicating aggressive scaling of delivery capacity and enterprise GTM at once.
Tech Stack 64 technologies
Core StackAWS Lambda SageMaker LangChain OpenAI RAG FastAPI Django Flask PostgreSQL Python SQL Server Azure Data Factory Snowflake Power BI dbt PyTorch TensorFlow Java scikit-learn AWS Kubernetes Docker Hugging Face GitLab CI/CD MLflow AWS ECS LangGraph Azure Synapse Analytics Azure GCP+34 more
What Factored Is Building
◆Challenges
- Increasing organizational efficiency
- Scaling generative ai systems
- Improving data pipeline efficiency
- Complex real-world problems
- Performance improvement of rag models
- Deployment into production environments
- Closing multi-million-dollar partnerships
- Driving arr growth
- Expanding enterprise pipeline
- Penetrating complex enterprise accounts
▲Active Projects
- Center of excellence (coe)
- Scalable operational frameworks
- Agentic ai workflow architecture
- Ai-native platform backend
- Rag pipeline optimization
- Design and develop frameworks for genai products
- Build and implement machine learning models for client growth
- Deploy rag models into production environments
- Product discovery recommender system
- Cloud-native ai application deployment on aws
Hiring Activity
20 roles · 15 in 30d
Department
Seniority
Notable leadership hires: TalentOps Lead, Key Account Director
Company intelligence
