Nuuly
US - New York - Philadelphia
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Requirements
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### Must have:
### - We require 5+ years of hands-on experience building production software or internal platforms such as APIs, workflow engines, developer tooling, or automation systems. - We need practical experience designing agent instructions, prompt systems, or LLM-driven workflows. - We look for experience with spec-driven or artifact-lifecycle systems where AI is embedded in the development process. - We want experience building and shipping AI agents in production, including agent architectures and orchestration patterns. - We value a strong focus on quality discipline, including testing, rubrics, evaluation datasets, LLM-as-judge methods, and observability for AI workflows. - We require experience designing structured data contracts such as JSON Schema, YAML, or similar formats. - We need comfort collaborating with Product, UX, and engineering partners and translating between domain experts and technical constraints. - We want enthusiasm for exploring emerging AI capabilities, platforms, tooling, and techniques. - We require excellent communication and presentation skills, including the ability to explain complex AI concepts to non-technical audiences. - We prefer familiarity with multiple agentic coding and cloud agent platforms such as Cursor, Claude Code, and Gemini. - We require strong scripting and automation skills in Python. - We look for hands-on experience with agent development kits and platforms such as Claude Agent SDK, Google ADK, LangChain/LangGraph, or CrewAI. - We require solid Git knowledge, including branching, pull request workflows, and coordinating cross-repo changes. - We look for experience implementing CI/CD pipelines using GitHub Actions, GitLab CI, or similar automation tools. - We want the ability to build and operate agentic or automation integrations with project management tools such as Jira, Confluence, or Monday. - We value familiarity with tool-integration protocols for connecting agents to external systems such as MCP or CLI-based tooling.
Responsibilities:
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- We will have you build and maintain the artifact lifecycle system that governs how work moves between AI-assisted stages. - You will design schemas and traceability standards that connect requirements, use cases, and implementation. - You will author and maintain AI agent instructions and skills, with a focus on real prompt and agent design. - You will design, build, and deploy AI agents that automate or support steps in the development lifecycle. - You will write Python and Bash automation that enforces schema rules and quality gates across the system. - You will measure and score AI output quality against real usage, then create feedback loops that improve the system over time. - You will partner with Product, UX, and Engineering stakeholders on shared standards and handoffs.
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Company:
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We are Nuuly, part of URBN, and we are looking for a Senior AI Engineer to help us build and evolve our AI-powered development harness used by our Product, UX, and Engineering teams. This is a hands-on engineering role focused on the tooling and process infrastructure behind applied AI, not simply on using AI coding assistants. We offer comprehensive perks and benefits, which may vary by location and employment status, including medical, dental, vision, PTO, generous employee discounts, retirement savings, and more. We are committed to diversity, inclusion, equal employment opportunity, and maintaining a safe, fair, and respectful workplace.
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