Fullstack Engineer

About The Prompting Company

We help products get discovered & used by AI agents.

Tech

Hard engineering problems we work on: Crawl, transform, and serve structured content that LLMs and agents can understand, retrieve, and use. Run large-scale prompt experiments and agent workflow evaluations to understand how AI systems discover products, compare options, and complete tasks. Build infrastructure to simulate, trace, and debug agent behavior across docs, websites, APIs, SDKs, and product workflows. Track token-level cost, caching, deduplication, and latency for high-volume AI and agent traffic. Build analytics for Share of Voice, competitive visibility, workflow success rates, and agent failure points across models. Our stack: Frontend: TypeScript, Next.js. Backend: Go. Data: Postgres and pgvector, Tinybird for analytics. Infra: Kubernetes, Cloudflare Workers, CDN-first edge routing.

The role

We help companies get mentioned in ChatGPT by rebuilding the internet for AI agents. Our product helps companies like NVIDIA, Rho, and Exa get cited by ChatGPT, Gemini, and Perplexity. You’ll join as a founding engineer to design experiments and systems that uncover how AI agents crawl, retrieve, and cite the web. You might be a fit if you’ve: • Worked with LLMs at the infrastructure or evaluation level (OpenAI, Anthropic, Perplexity, LangChain, etc.) • Or built edge systems at Cloudflare, Vercel, or Netlify and want to apply that expertise to AI agents • Shipped production systems in Next.js, TypeScript, or Go • Built or debugged telemetry and routing pipelines • Are curious about how LLMs choose what to see, cite, and trust

Skills

• Go
• TypeScript
• Next.js