Arize AI Tech Stack

AI agent development platform with observability and evaluation

Software Development Berkeley, CA 51–200 employees Privately Held

Arize AI provides an engineering platform for building, monitoring, and evaluating AI agents. The stack reveals a full-spectrum agent tooling company: TypeScript + Python on the application layer, LlamaIndex + CrewAI + LangGraph for orchestration, OpenAI + Anthropic for LLM integrations, and OpenTelemetry for observability. Active pain points around real-time evaluation infrastructure scaling and GTM operational friction suggest the platform is maturing from early adoption into production deployment, with hiring tilted heavily toward engineering (21 roles) over sales (9), indicating a product-first growth phase.

Tech Stack 31 technologies

Core StackTypeScript Python Go React Java OpenAI Anthropic GitHub Slack JavaScript OpenTelemetry Langchain Kubernetes AWS Figma GraphQL TensorFlow PyTorch scikit-learn LlamaIndex CrewAI LangGraph LiteLLM Google Workspace GCP Azure Arize Phoenix Fullstory DSPy

AdoptingOpenTelemetry

What Arize AI Is Building

◆Challenges

Monitoring ai systems
Optimizing ai systems
Troubleshooting ai systems
Expanding geographic coverage
Scaling real-time evaluation infrastructure
Ux refinement afterthought
Operational inefficiencies across gtm functions
Friction points in product
Cloud-native architecture adaptation
On-prem deployment scaling

▲Active Projects

Prototype spikes for new features
Open-source demonstration repositories
Community engagement events
Product documentation
Build awareness of arize’s products
Creating onboarding experience
Multi-step wizard for complex form
Onboarding experience for arize users
Building solutions engineering org
Product demonstrations

Hiring Activity

Steady35 roles · 15 in 30d

Department

Engineering

Sales

Design

Ops

Marketing

Security

Seniority

Mid

Senior

Manager

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About Arize AI

Arize AI builds a platform for developing and operating AI agents at scale. The product spans three layers: agent development (supporting multiple LLM providers and orchestration frameworks), observability (OpenTelemetry-native monitoring for AI systems), and evaluation (automated and manual testing workflows). The company operates across four countries—United States, Singapore, Argentina, and France—and maintains an engineering-heavy org actively hiring across backend, frontend, and ML domains. Current project focus is on onboarding experience design, solutions engineering capability-building, and product demonstrations, with documented pain points in scaling real-time evaluation and reducing friction in sales workflows.

HeadquartersBerkeley, CA

Company Size51–200 employees

Hiring MarketsUnited States, Singapore, Argentina, France

Frequently Asked Questions

What tech stack does Arize AI use?

TypeScript, Python, Go, React, and Java on the application layer; LlamaIndex, CrewAI, and LangGraph for agent orchestration; OpenAI and Anthropic for LLM access; OpenTelemetry for observability; GCP, AWS, and Azure for cloud infrastructure.

What is Arize AI working on?

Product onboarding experience, multi-step form workflows, solutions engineering organization buildout, product demonstrations, open-source repositories, and scaling real-time evaluation infrastructure for AI systems.