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# AI Engineer

- **Company:** HockeyStack, Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $180,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Node.Js, TypeScript, Large Language Models, Multi-Agent Systems, Backend, Virtual Agents
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/ai-engineer-hockeystack-8129161

## About the Role

* Ownership-first mindset - you take initiative, move fast, and figure things out
 * Thrive in early-stage, high-urgency environments where speed and impact matter
 * Fully committed to working in-person 5 days/week at our SF HQ
 * Curious, self-aware, and feedback-driven - you bring energy, not ego
 * See this role as a defining chapter - not a stepping stone or side quest

What you bring:

 * Hands-on experience building and deploying LLM-powered applications or agentic AI systems in production
 * Strong backend engineering experience with Node.js and modern JavaScript/TypeScript
 * Experience designing and orchestrating multi-agent systems, including managing agent state, memory, and context across complex workflows
 * Familiarity with modern AI frameworks and providers (Braintrust, Cerebras, Langchain or similar)
 * Understanding of multi-model architectures - knowing when and how to route tasks across different LLMs for cost, speed, and quality tradeoffs
 * A track record of shipping in fast-moving, production environments

## Description

* Own and continuously improve the backend systems that power all agentic AI features across the platform
 * Design, write, and maintain agents responsible for different tasks across a GTM team's workflows, leveraging the latest agent frameworks
 * Develop and maintain backend services in Node.js that power these agents
 * Build state-of-the-art context management pipelines and manage thousands of stateful agents.
 * Ship fast and often - deploying to production frequently while maintaining high-quality standards


## Related Videos

- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
- [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)
- [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding)