Overseas Contractor

LTIMindtree•San Francisco, CA

2d•Onsite

About The Position

Join CBSSports and shape the future of sports media through cutting-edge AI-powered content and deeply personalized fan experiences across mobile web and digital platforms. We are seeking a Senior FrontEnd Software Engineer to join our Solutions Architecture team. In this role, you will partner with product, design, and engineering teams to build, prototype, and deliver innovative AI solutions at scale.

Requirements

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 frontend 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.
5 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.
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.
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 building highly scalable, high-performance applications.
Strong debugging and performance troubleshooting skills, including use of monitoring/observability tools (e.g., OpenTelemetry, New Relic).
Able to analyze, debug, and troubleshoot complex code problems.
Passion for sports and a dedication to creating exceptional fan experiences.
Comfortable evaluating multiple technologies or approaches and presenting tradeoffs and options to your team.

Nice To Haves

Experience working with LLMs and/or MCP serverless technologies.
Experience with AI tech.

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.
Contribute to the rapid prototyping and full-cycle development of production-grade features for mobile and web applications.
Adhere to scalable platform standards, engineering patterns, and reusable components across the organization and help improve them over time.
Work closely within a small engineering group, partnering with design and product teams to rapidly design, develop, and prototype solutions to key business challenges.
Follow defined guardrails to ensure fast, secure, and compliant adoption and deployment of vibe-coded and agentically developed applications.
Write robust requirements and production-quality code.
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.
Contribute to improvements in frontend performance (Core Web Vitals, bundle size, caching) and observability (RUM, error tracking) for web and mobile applications.
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.