Lead Software Engineer, CMS

Jobtailor; Kentucky; On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor seeks an experienced engineer to architect and implement advanced Generative AI and RAG features powering intelligent recommendations. You will drive rapid prototyping for mobile and web apps, align with scalable platform standards, and collaborate with design and product teams to quickly prototype solutions to business challenges.

You will leverage monorepo tooling, TypeScript standards, and cloud/container technologies to deliver high-performance, reliable software across web and

Qualifications

• Experience with Generative AI and RAG architectures.
• Ability to collaborate with cross-functional stakeholders.
• Strong understanding of browser behavior, rendering, and front-end performance.
• Experience with monorepo tooling (Turborepo, Nx) and cross-project dependencies.
• BS in Computer Science or equivalent experience.
• 7+ years building scalable, production-grade web apps with React/Next.js/Node.js.
• Strong JavaScript/TypeScript skills including ES6+ features.
• Experience consuming REST/GraphQL APIs, Apollo Client, and microservices.

Responsibilities

• Implement and assist in the architecture of advanced Generative AI and RAG systems to power intelligent recommendations and dynamic user personalization.
• Drive rapid prototyping and full-cycle development of production-grade features for mobile and web applications.
• Promote and adhere to scalable platform standards, engineering patterns, and reusable components.
• Collaborate with design and product teams to rapidly design, develop, and prototype solutions to business challenges.
• Use AI development tools to optimize workflows and promote AI-driven development across the team.
• Implement solutions with scalability and reliability, including testing, monitoring, and alerting.
• Contribute to documentation and diagrams to facilitate onboarding; review code for best practices.
• Evolve monorepo tooling/workflows to support build, test, and deploy across web and mobile apps.
• Adhere to TypeScript standards to keep codebases maintainable, type-safe, and refactor-safe.

Skills

Generative AI

Retrieval-Augmented Generation

JavaScript

TypeScript

React

Next.js

Node.js

HTML

CSS

APIs

Education

BS in Computer Science

Tools

Turborepo

Nx

Apollo Client

Docker

Kubernetes

OpenTelemetry

New Relic

Redis

Job description

Responsibilities

• Implement and assist in the architecture of advanced Generative AI and Retrieval-Augmented Generation (RAG) systems to power intelligent recommendations and dynamic user personalization.
• Drive the rapid prototyping and full-cycle development of production-grade features for mobile and web applications.
• Promote and adhere to scalable platform standards, engineering patterns, and reusable components across the organization.
• Work closely within a small engineering group, partnering with design and product teams to rapidly design, develop, and prototype solutions to key business challenges.
• Utilize AI development tools to optimize your workflow and promote the use of AI-driven development practices across the team.
• Implement solutions with scalability and reliability in mind, incorporating appropriate testing, monitoring, and alerting.
• Contribute to clear documentation and diagrams to facilitate easy onboarding for other engineers and support teams. Review code to ensure adherence to best practices (style, testability, efficiency).
• Utilize and contribute to the evolution of monorepo tooling and workflows (e.g., Turborepo, Nx) to support build, test, and deploy across web and mobile applications.
• Adhere to and contribute to the evolution of TypeScript and typing standards (e.g., strict mode, shared types, codegen) so that codebases stay maintainable, type-safe end to end, and refactor-safe.

Requirements

• Experience or familiarity with Generative AI and RAG architectures
• Experience contributing to scalable platform products and adhering to cross-team engineering standards
• Ability to collaborate effectively with cross-functional stakeholders in a dynamic, fast-paced environment
• Solid understanding of browser behavior, rendering, and front-end performance (e.g., Core Web Vitals, lazy loading, code splitting)
• Experience with monorepo tooling and workflows (e.g., Turborepo, Nx), including shared packages, task pipelines, and cross-project dependencies
• BS in Computer Science or equivalent experience
• 7+ years of experience building scalable, production-grade web applications using modern JavaScript frameworks (React, Next.js) and Node.js
• Strong expertise in JavaScript and TypeScript, including asynchronous programming, generics, strict typing, and advanced ES6+ features
• Deep knowledge of HTML and CSS, including responsive layout, cross-browser compatibility, accessibility, and performance optimization
• Experience consuming and designing APIs (REST and GraphQL), including Apollo Client and microservices-based architectures
• Proven experience modeling complex data flows for transactional and integration workflows
• Experience working with cloud platforms (AWS, GCP, or OCI) and containerized environments (Docker, Kubernetes)
• Familiarity with distributed systems concepts including caching (Redis, Memcached) and messaging systems (Kafka, RabbitMQ)
• Experience designing and developing highly scalable, high-performance applications
• Strong debugging and performance troubleshooting skills, including use of monitoring/observability tools (e.g., OpenTelemetry, New Relic)
• Passion for sports and a dedication to creating exceptional fan experiences.

Hard Skills

• Generative AI
• Retrieval-Augmented Generation
• JavaScript
• TypeScript
• React
• Next.js
• Node.js
• HTML
• CSS
• APIs

Soft Skills

• collaboration
• communication
• problem-solving
• adaptability
• teamwork
• documentation
• code review
• mentorship
• leadership
• creativity

Certifications & Qualifications

• BS in Computer Science