Staff Software Engineer developing AI-powered digital experiences for URBN. Collaborating with cross-functional teams to integrate algorithmic solutions and creative tools.
Responsibilities
Design and development of MCP servers for agentic tools using FastMCP or similar technologies.
Design and development of agentic workflows using ADK, A2A, LangGraph, or similar technologies.
Design and development of microservices using FastAPI, GraphQL, or similar technologies.
Develop functional designs while interacting with enterprise architects, developers, business partners, and end users.
Collaborating with Product Designers, Product Managers, and other Software Engineers to deliver compelling user-facing products.
Conduct exploratory proof-of-concept studies to assess potential deployment architectures and evaluate new data engineering technologies.
Propose, promote, and facilitate paved paths for algorithm integration and productization, laying foundations for feedback loops and data flywheels.
Collaborate with the team to implement and maintain the ML architecture, including data pipelines and applications that enable training and inference of ML models in production.
Foster strong cross-functional partnerships.
Champion best practices in full-stack algorithm engineering.
Requirements
AI-Augmented Development: Proficient in leveraging AI-powered development tools (e.g., Cursor, VS Code Copilot, Claude Code, or Gemini) to accelerate code authoring, refactoring, and complex troubleshooting while maintaining high standards for code quality and security.
RESTful APIs & Distributed Systems: Strong background in designing and building scalable RESTful APIs and Distributed Systems.
System Integration & AI Workflows: Ability to integrate complex workflows and AI/ML services into backend systems using modern orchestration frameworks and event-driven patterns.
Containerization & Cloud: Proficiency with Docker for containerization and experience deploying applications to major public cloud platforms.
Infrastructure as Code (IaC): Hands-on experience defining and managing infrastructure using Terraform or similar tools to ensure reproducible, version-controlled, and auditable environments.
Database Management: Proficiency with relational databases for transactional workloads, including schema design, connection pooling, and performance tuning.
Quality & Automation: Dedication to modern engineering practices, including CI/CD pipelines, Test-Driven Development (TDD), and automated code quality standards.
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