AI Engineer, Agents

Role overview Improve AI agents that scan social conversations for signs of buying intent, select the most relevant posts, and draft replies that fit a business’s voice. You will own both the quality of these agent behaviors and the evaluations used to judge whether changes improve relevance, writing, speed, or cost.

Responsibilities - Design and refine agents that find purchase-related conversations, rank them, and draft brand-aligned responses. - Build evaluation datasets and measures for relevance, voice consistency, and reply quality, and use them to assess each change. - Compare model providers and select models for individual tasks based on quality, latency, and cost. - Develop ways to learn a brand’s voice from its existing posts, edits, and approvals. - Deliver tools that track how brands appear in AI search services.

Requirements - At least three years of software engineering experience, including production experience with an LLM-powered product. - Strong TypeScript or Python skills and practical experience with structured outputs, retrieval, and tool use. - A measurement-focused approach to quality, using evaluations rather than subjective impressions. - Clear writing skills, including the ability to craft and refine prompts.

Nice to have - Experience with ranking, search, or recommendation systems. - Experience with image or video generation models.