Senior LLM Product Engineer (Remote)

blueroseresearch; United States; Remote; USD 110,000 - 210,000; Full time

Benefits offered by this job

Remote‑first

Office in New York City

Job summary

Blue Rose Research seeks a product engineer to build AI-powered software that helps teams turn large, fast-moving datasets into useful insights. You’ll work with product design, research, data, and engineering to shape ideas into production tools such as conversational interfaces and research agents.

You’ll design end-to-end features, present AI results with uncertainty and citations, and translate complex research needs into usable software.

Qualifications

• 6+ years of experience in product engineering, full-stack engineering, or a design-and-engineering hybrid role with shipped products.
• Experience building and shipping LLM-powered products (chat interfaces, agents, retrieval-augmented tools).
• Ability to critique flows, propose alternatives, and explain tradeoffs clearly.
• US work authorization.

Responsibilities

• Design and deliver end-to-end features for products where people collaborate with AI agents.
• Present AI-generated results, uncertainty, and citations to help users trust output.
• Talk with users and stakeholders to improve confusing or slow workflows.
• Translate research needs into clear product concepts, UX, and working software.
• Use coding agents to speed up development while maintaining quality.
• Learn how users reason and reflect that expertise in the tools you build.

Skills

Product/UX judgment

LLM-powered product experience

Coding agents usage

Cross-disciplinary collaboration

Tools

Figma

Job description

Blue Rose Research seeks a product engineer to build AI-powered software that helps teams turn large, fast-moving datasets into useful insights. You’ll work with product design, research, data, and engineering to shape ideas into production tools such as conversational interfaces and research agents.

You’ll design end-to-end features, present AI results with uncertainty and citations, and translate complex research needs into usable software.