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Caffeine Tech Stack

AI-native app and web development platform with open-source foundations

Technology, Information and Internet Zurich 11–50 employees Privately Held

Caffeine is a TypeScript-heavy, full-stack AI development platform built on Next.js, NestJS, and Rust microservices with comprehensive observability (Datadog, OpenTelemetry, Istio). The tech choices—Pulumi for infrastructure-as-code, Turborepo for monorepo management, DeepSpeed for model optimization—indicate a maturity in supporting large-scale, multi-agent LLM pipelines. All 8 active engineering hires target senior-level roles in Switzerland, suggesting the company is scaling backend reliability and observability rather than headcount breadth.

Tech Stack 15 technologies

Core StackTypeScript Node.js React Datadog OpenTelemetry Rust Go Pulumi Istio Next.js NestJS Fastify pnpm Turborepo DeepSpeed

What Caffeine Is Building

◆Challenges

Ensuring end-to-end reliability of core journey
Scaling ai-driven micro-services
Database query optimization
High-concurrency handling
System resilience
Low-latency real-time streaming
Reliable job orchestration
Persistent state for long-running workflows

▲Active Projects

Ai-native experience integration
End-to-end feature development
Api latency optimization
Product reliability ownership
Observability stack implementation
Scalable solutions engineering
Ai-generated application interface
A/b testing and telemetry
Multi-agent llm architecture for full-stack code generation pipeline
Training dataset pipeline for synthetic generation and alignment

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Engineering

8

Seniority

Senior

8

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About Caffeine

Caffeine enables developers to build web and mobile applications through conversational AI interfaces, running on an open-source-friendly tech stack that avoids vendor lock-in. The platform is architected around multi-agent LLM workflows for full-stack code generation, with active investment in observability, API latency, and real-time streaming reliability. Current engineering focus spans microservice scaling, database query optimization, and persistent state management for long-running workflows—operational challenges typical of production AI systems handling high concurrency.

HeadquartersZurich

Company Size11–50 employees

Hiring MarketsSwitzerland

Frequently Asked Questions

What tech stack does Caffeine use?

TypeScript, Node.js, React, Next.js, NestJS, and Rust. Infrastructure and deployment rely on Pulumi, Istio, and OpenTelemetry for observability via Datadog. Build tooling includes Turborepo and pnpm.

What is Caffeine working on?

Multi-agent LLM architectures for code generation, AI-native experience integration, observability stack implementation, database query optimization, and training pipelines for synthetic dataset generation and model alignment.

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