Associate AI Engineer – Front End

Associate AI Engineer – Front End

We are seeking a Frontend Associate AI Engineer with 1–3 years of experience with strong frontend experience in React/Next.js and hands on experience in AI/ML model development, including RAG (Retrieval-Augmented Generation) architectures. The role involves building scalable web applications, integrating AI-driven backend services, optimizing performance, and contributing to enterprise-grade platforms that handle complex data and real-time updates.

In this role you will…

• Develop and maintain frontend applications using React.js and Next.js.
• Develop, implement, and optimize machine learning and AI models
• Implement RAG architectures to enhance AI solutions with knowledge retrieval for enterprise applications.
• Collaborate with backend engineers to integrate AI/ML solutions via APIs.
• Build reusable, responsive UI components with clean architecture.
• Integrate REST/GraphQL APIs from AI/ML backends, with proper error handling.
• Manage application state and asynchronous data flows.
• Optimize performance, accessibility, and cross-browser compatibility.
• Write unit and component tests using Jest and React Testing Library.
• Debug and resolve production issues in collaboration with backend and product teams.

You have what it takes if you have…

Core Technologies

• React.js – Hooks, lifecycle, context API
• Next.js – Routing, SSR/SSG fundamentals
• TypeScript – Type safety, interfaces, generics
• JavaScript (ES6+) – Async/await, modules
• Modern CSS – Tailwind CSS / SCSS, responsive design
• Machine learning frameworks: TensorFlow, PyTorch, scikit-learn
• Experience in RAG architectures
• Familiarity with large language models (LLMs)
• State management (Context API, SWR or React Query)
• Build tools (Webpack or Vite), npm/yarn
• Git-based version control workflows

Testing

• Jest
• React Testing Library
• Basic understanding of end-to-end testing (Playwright preferred)

Data & API Integration

• REST API consumption (OpenAPI/Swagger familiarity preferred)
• Basic knowledge of GraphQL (queries/mutations)
• Experience with chart libraries (Chart.js or similar preferred)

Cloud & DevOps Exposure

• Docker (basic containerization knowledge)
• Exposure to CI/CD tools (e.g., GitHub Actions)
• Basic understanding of cloud environments (AWS preferred)
• Familiarity with logging, monitoring, and performance tracking

#LI-Onsite

Our Culture:

Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today.

Who We Are:

Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today.

Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!