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# Full-Stack Engineer

- **Company:** Hark's Co.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $170,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Deployment, Software Engineering, Data Streaming, Large Language Models, Build Management, Front End Software Development
- **Published:** August 9, 2026
- **Apply:** https://www.adzuna.com/details/5833156518

## About the Role

* Strong frontend engineering fundamentals. You are comfortable building polished, responsive interfaces and you care deeply about how things feel to use.
 * Experience shipping consumer products that real people depend on. You understand the gap between a prototype and something someone trusts every day.
 * Genuine curiosity about AI and agents. You have used LLM-powered products, noticed where they break down, and thought about what would make them better.
 * A product sensibility. You think about the person using the thing, not just the implementation. You notice when something is off and you want to fix it.
 * Comfort with ambiguity and fast iteration. You can take a rough idea, prototype it, get feedback, and move quickly toward something that works.
 * Strong communication. You can work closely with designers and engineers, explain your thinking, and make good decisions together.
 * 5+ years of relevant software engineering experience. Experience at a fast-growing AI or consumer product company is a strong plus.

Bonus Qualifications

 * Experience at a fast-growing AI or consumer product company.
 * Experience with voice or multimodal interfaces.
 * Experience with real-time streaming UI.
 * Experience building frontend systems for agentic products.

## Description

* Design and build the product surfaces of Hark. The interfaces, conversations, and agentic experiences that users interact with every day across voice, text, and vision.
 * Work closely with designers to ship interactions that feel fast, reliable, and genuinely useful. The details matter here.
 * Own features end-to-end, from early prototyping to production deployment and iteration based on real usage.
 * Build the frontend for agent workflows that integrate tool use, memory retrieval, and multi-step reasoning. Making model capabilities feel coherent and trustworthy to the person using them.
 * Instrument and evaluate what you ship. Track quality, gather signal, and improve.


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