Software Engineer; AI - Full Stack

Staff Software Engineer (AI) – Full Stack

Join to apply for the Staff Software Engineer (AI) – Full Stack role at Tailored Brands, Inc.

Tailored Brands is a leading omnichannel specialty retailer of menswear, including suits, formal wear and a broad selection of business casual offerings. The company delivers personalized products and services through a convenient network of stores and e‑commerce sites. Tailored Brands’ brands include Men’s Wearhouse, Jos.

A. Bank, Moores and K&G Fashion
. We value differences and strive to create a diverse, equitable, and inclusive workplace.

We are seeking a Full‑Stack Staff Software Engineer to join our Digital Engineering team. In this role, you’ll architect and develop high‑performance, scalable web applications across front‑end and back‑end systems.

• Architect, design and develop scalable and performant full‑stack web applications, leading both front‑end (React/Next.js) and back‑end (Java/Node.js) components.
• Back‑End Development (Java):
  Build and optimize Java‑based back‑end systems, including microservices, APIs, and databases. Ensure systems are scalable, performant and maintainable.
• Node.js Services:
  Design and implement efficient, event‑driven, and scalable services using Node.js, ensuring high availability and performance.
• Collaboration:
  
  Work closely with product managers, designers, QA engineers and other stakeholders to define requirements and deliver high‑quality software solutions.
• Mentorship & Leadership:
  Provide technical leadership and mentorship to junior engineers, guiding them in best practices, code quality and system design.
• Code Reviews & Best Practices:
  Conduct peer code reviews, establish coding standards, and ensure best practices for software development, testing and deployment.
• Performance Optimization:
  Focus on optimizing performance, including database queries and addressing scaling issues to handle increasing load and traffic efficiently.
• Agile Methodology:
  Participate in Agile development processes, including sprint planning, retrospectives and continuous improvements in engineering practices.
• Apply large language models (LLMs) to enrich product catalog data—automating attribute generation, validation and enhancement to improve discovery, personalization and SEO.
• Build scalable AI‑driven pipelines and APIs that embed LLM enrichment into catalog systems for automated classification and contextual tagging.

• Bachelor’s degree or greater in computer science or equivalent.
• Overall 12+ years of applicable experience.
• Java: 8+ years of experience building scalable, enterprise‑level back‑end systems using Java (e.g., Spring Boot).
• Node.js: 4+ years of experience developing server‑side applications with Node.js, including experience with RESTful APIs and Graph
  
  QL.
• Databases:
  Hands‑on experience with relational (Postgre
  
  SQL, MySQL) and No
  
  SQL (Mongo
  
  DB) databases, including schema design, query optimization and transactions.
• Cloud & Dev Ops:
  Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• API Design:
  Expertise in designing and consuming RESTful APIs, working with third‑party APIs and ensuring secure and efficient data flow across services.
• Unit Testing:
  Experience with automated testing frameworks (JUnit, Mocha, PyTest) and a strong focus on test‑driven development (TDD) for both back‑end and front‑end code.
• Version Control:
  Proficiency in Git, including branching, pull requests and managing large codebases.
• Agile Methodologies:
  Experience working in Agile teams using Scrum or Kanban methodologies.
• Leadership
  
  Experience:
  
  Prior experience leading or mentoring a team of engineers, contributing to technical strategy and driving initiatives to improve engineering practices.
• Problem‑Solving & Leadership:
  Strong analytical skills with a passion for solving complex technical problems and taking ownership of projects.
• Communication &
  
  Collaboration:
  
  Excellent verbal and written communication skills, explaining complex technical concepts to both technical and non‑technical stakeholders.

Please note that you do not need to qualify for all…