Nuuly Senior AI Engineer

Nuuly; Philadelphia (Philadelphia County); On-site; USD 140,000 - 210,000; Full time

Job summary

Nuuly is seeking a Senior AI Engineer to design and evolve the AI-powered development harness used by Product, UX, and Engineering to move initiatives from design to implementation.

You will own the harness, including product definition, UX, design, coding, testing, and the gate logic that keeps AI-assisted work traceable and reliable as it moves between teams and into engineering.

Qualifications

• 5+ years of hands-on experience building production software or internal platforms (APIs, workflow engines, developer tooling, or automation systems)
• Hands-on experience designing agent instructions, prompt systems, or LLM-backed workflows
• Experience with spec-driven or artifact-lifecycle systems with AI integrated into the development lifecycle
• Experience building and deploying AI agents in production, including agent architectures and orchestration patterns
• Interest in quality discipline: testing, rubrics, evaluation datasets, LLM-as-judge approaches, and observability for AI workflows
• Comfort partnering with Product, UX, and engineering stakeholders; ability to translate between domain experts and technical constraints
• Enthusiasm for exploring emerging AI capabilities, platforms, tooling, and techniques
• Excellent communication and presentation skills, with an ability to explain complex AI concepts to non-technical audiences
• Familiarity with multiple agentic coding platforms and cloud agent platforms (e.g., Cursor, Claude Code, Gemini)
• Strong scripting and automation ability in Python
• Hands-on experience with agent development kits and agent platforms (e.g., Claude Agent SDK, Google ADK, LangChain/LangGraph, CrewAI)
• Git literacy: branching, PR workflows, coordinating cross-repo changes
• Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI, or similar automation platforms
• Ability to build and operate agentic or automation integrations with project management tools (e.g., Jira, Confluence, Monday)
• Familiarity with tool-integration protocols for connecting agents to external systems (e.g., MCP, CLI-based tooling)

Responsibilities

• Build and maintain the artifact lifecycle system that governs how work moves between AI-assisted stages
• Design schemas and traceability standards connecting requirements, use cases, and implementation
• Author and maintain AI agent instructions and skills — not casual use of AI coding tools, but genuine prompt/agent design
• Design, build, and deploy AI agents that automate or support steps in the development lifecycle
• Write automation (Python/Bash) that enforces schema and quality gates across the system
• Measure and score AI output quality against real usage, and build feedback loops so the system improves over time
• Partner with Product, UX, and Engineering stakeholders on shared standards and handoffs

Skills

API development

Workflow orchestration

Agent design

Python scripting

CI/CD

Git/GitHub

Cloud platforms

LLM workflows

Testing & observability

Communication skills

Tools

Claude Code

Gemini

LangChain

LangGraph

CrewAI

Claude Agent SDK

Google ADK

Cursor

Job description

Nuuly is searching for a Senior AI Engineer to help build and evolve the AI-powered development harness our Product, UX, and Engineering teams use to move from initiative through design and into implementation. This role owns the harness spanning product definition, UX, design, coding and testing—the skills, templates, schemas, and gate logic that keep AI-assisted work traceable, consistent, and reliable as it hands off between teams and into engineering.

You’ll design and maintain the agent instructions, validators, and lifecycle rules that power this system, partner with an AI Enablement Lead and engineering stakeholders on shared standards, and help the harness improve itself over time through structured feedback and output scoring. This is a hands-on engineering role for someone who wants to build the tooling and process infrastructure behind applied AI, not just use AI coding assistants day to day.

Role Responsibilities

• Build and maintain the artifact lifecycle system that governs how work moves between AI-assisted stages
• Design schemas and traceability standards connecting requirements, use cases, and implementation
• Author and maintain AI agent instructions and skills — not casual use of AI coding tools, but genuine prompt/agent design
• Design, build, and deploy AI agents that automate or support steps in the development lifecycle
• Write automation (Python/Bash) that enforces schema and quality gates across the system
• Measure and score AI output quality against real usage, and build feedback loops so the system improves over time
• Partner with Product, UX, and Engineering stakeholders on shared standards and handoffs

Role Qualifications

• 5+ years of hands-on experience building production software or internal platforms (APIs, workflow engines, developer tooling, or automation systems)
• Hands-on experience designing agent instructions, prompt systems, or LLM-backed workflows
• Experience with spec-driven or artifact-lifecycle systems with AI integrated into the development lifecycle
• Experience building and deploying AI agents in production, including agent architectures and orchestration patterns
• Interest in quality discipline: testing, rubrics, evaluation datasets, LLM-as-judge approaches, and observability for AI workflows
• Comfort partnering with Product, UX, and engineering stakeholders; ability to translate between domain experts and technical constraints
• Enthusiasm for exploring emerging AI capabilities, platforms, tooling, and techniques
• Excellent communication and presentation skills, with an ability to explain complex AI concepts to non-technical audiences
• Familiarity with multiple agentic coding platforms and cloud agent platforms (e.g., Cursor, Claude Code, Gemini)
• Strong scripting and automation ability in Python
• Hands-on experience with agent development kits and agent platforms (e.g., Claude Agent SDK, Google ADK, LangChain/LangGraph, CrewAI)
• Git literacy: branching, PR workflows, coordinating cross-repo changes
• Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI, or similar automation platforms
• Ability to build and operate agentic or automation integrations with project management tools (e.g., Jira, Confluence, Monday)
• Familiarity with tool-integration protocols for connecting agents to external systems (e.g., MCP, CLI-based tooling)