Remote Llm Serving Jobs

engineering What you bring 5+ years of engineering or applied research experience, with at least 2 years of hands-on work with LLMs

Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta.

You don’t need to have worked with LLMs before - though that’s a plus.

Define agent persona, tone, and fallback logic Re-engineer GTM processes by connecting LLMs to GTM systems Build and

Has shipped at least one AI-enabled capability, such as LLM-based features, agentic workflows, or human-in-the-loop automation.

Troubleshooting & Problem Solving (Core Focus) Diagnose and resolve complex technical issues across OpenRouter's API, spanning multiple LLM

We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds.

experiences for patients, and the systems behind them that let a small team serve a growing patient base.

Our stack is TypeScript and Node.js on AWS Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering

Integrate LLMs and agentic AI deeper into the product architecture.

Command is Mercury's LLM-powered financial assistant, launched to all customers in June 2026.

Experience driving technology-enabled workflow improvements, particularly with AI/LLM tools.

Command is Mercury's LLM-powered financial assistant, launched to all customers in June 2026.

Comfort working with LLMs and AI tools in real production settings.

Experience with LLMs, prompt engineering, or voice AI and conversational AI platforms.