Maxim AI Tech Stack

AI agent evaluation and observability platform

Software Development San Francisco 11–50 employees Founded 2023 Privately Held

Maxim builds an evaluation and observability platform for AI agents, with a tech stack anchored in Go, TypeScript, and LangChain/LlamaIndex—a pattern typical of production-grade agent infrastructure. The company is shipping fast across multiple fronts: expanding an open-source codebase (Bifrost), building SDKs for partnerships, and launching on developer platforms (Product Hunt, G2), but hiring has stalled (zero roles posted in the last 30 days), suggesting either product stabilization or resource constraints ahead of go-to-market scaling.

Tech Stack 11 technologies

Core StackGo TypeScript Next.js LangChain Python React MySQL Prisma FastAPI LlamaIndex Firestore

What Maxim AI Is Building

◆Challenges

Scaling bifrost
Simplifying complex ai infrastructure
Evaluating ai applications
Streamlining ai application lifecycle
Reducing error rates
Delayed product launches
Lack of evaluation and observability infrastructure
Slow ai product market entry
Scaling revenue
Customer onboarding at scale

▲Active Projects

Agent infrastructure using langchain and llamaindex
Bifrost oss codebase expansion
Enterprise feature development
Building sdks and agents for partnerships and integrations
Prototype llm-based features into production
Go-to-market strategy development
Product launch coordination on product hunt and g2
Digital marketing strategy execution
Building maxim's devrel culture
Developing sample applications and sdks

Hiring Activity

Minimal8 roles · 0 in 30d

Department

Engineering

Design

Marketing

Ops

Product

Seniority

Mid

Junior

Intern

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About Maxim AI

Maxim provides a platform to simulate, evaluate, and observe AI agents in production. Founded in 2023 and based in San Francisco, the company serves engineering teams building agentic AI systems who need visibility into agent behavior and reliability metrics. The product addresses a specific pain point: the lack of structured evaluation and observability tooling as AI application complexity increases. Core initiatives include scaling an open-source codebase, developing enterprise features and SDKs, and establishing developer relations. The team is lean (11–50 employees) with a mid-level engineering bias and is currently recruiting in India.

HeadquartersSan Francisco

Company Size11–50 employees

Founded2023

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Maxim AI use?

Go, TypeScript, Next.js, Python, React, FastAPI, LangChain, LlamaIndex, MySQL, Prisma, and Firestore. The stack reflects production agent infrastructure (Go backend, TypeScript frontend) integrated with industry-standard LLM frameworks.

What is Maxim AI working on?

Active projects include Bifrost OSS codebase expansion, agent infrastructure hardening with LangChain/LlamaIndex, enterprise feature development, SDKs for partnerships, and go-to-market initiatives (Product Hunt, G2 launches, digital marketing, and developer relations).