Full-Stack AI Engineer

Experience: 8+ Years
Employment Type: Full Time
Role: Full Stack AI Engineer

Work Location: Remote

Job Summary

We are looking for an experienced Full Stack AI Engineer with strong expertise in React, Next.js, TypeScript, Node.js, Python, and Generative AI/LLM technologies to design, develop, and scale production-grade AI applications.

The ideal candidate should have hands-on experience building modern full-stack applications, integrating LLM APIs, RAG pipelines, AI agents, tool/function calling, real-time streaming interfaces, and scalable multi-tenant architectures.

The candidate will work closely with AI/ML, product, and engineering teams to build secure, scalable, high-performance AI-powered applications.

Key Responsibilities

• Design, develop, and maintain scalable full-stack AI applications using React, Next.js, TypeScript, Node.js, and Python.
• Build responsive, accessible, and high-performance frontend applications.
• Own the complete UI development lifecycle from wireframes and implementation through production deployment.
• Develop real-time conversational interfaces using SSE (Server-Sent Events) and WebSockets.
• Implement token-level streaming for real-time AI response rendering.
• Design and develop RESTful APIs and asynchronous backend services.
• Integrate and orchestrate LLM APIs, tool/function calling, structured outputs, and multi-step AI workflows.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines, vector search, embeddings, and AI agent workflows.
• Implement conversation state management and stateful AI applications.
• Collaborate with AI/ML engineers to integrate structured JSON outputs into frontend applications.
• Design and implement scalable multi-tenant architectures with row-level security.
• Follow secure API design, frontend performance, accessibility, and production engineering best practices.
• Support CI/CD, deployment automation, containerization, cloud-native infrastructure, and observability.
• Troubleshoot production issues and optimize application performance, scalability, and reliability.
• Collaborate with globally distributed engineering, AI/ML, and product teams.

Mandatory Skills

• 7+ years of professional software development experience.
• 7+ years of hands-on experience with React and TypeScript.
• 5+ years of experience with React and Next.js.
• 7+ years of experience designing and developing REST APIs and asynchronous backend services.
• Strong hands-on experience with Node.js and Python.
• 3+ years of experience integrating LLM/Generative AI APIs into production applications.
• 3+ years of experience implementing real-time streaming using SSE and/or WebSockets.
• Strong experience with token streaming and conversational AI interfaces.
• Hands-on experience with AI orchestration workflows and conversation state management.
• Experience building scalable multi-tenant applications.
• Strong understanding of modern frontend architecture, API design, security, performance, and scalability.

Preferred Skills

• Experience with RAG architecture, vector databases/vector search, embeddings, and AI agents.
• Experience with LLM tool calling/function calling and structured JSON outputs.
• Knowledge of prompt engineering and prompt orchestration.
• Experience with AI agent frameworks and multi-step AI workflows.
• Experience with Docker/containerization and cloud-native architectures.
• Hands-on experience with CI/CD and deployment automation.
• Experience with application monitoring, logging, and observability.
• Strong understanding of frontend accessibility standards and performance optimization.

Technical Skills

Frontend: React, Next.js, TypeScript, JavaScript, Responsive UI, Accessibility, Frontend Performance

Backend: Node.js, Python, REST APIs, Asynchronous Services

Real-Time: SSE, WebSockets, Token-Level Streaming

Generative AI / LLM: LLM APIs, Generative AI, Prompt Orchestration, Tool Calling, Function Calling, Structured Outputs, Conversation State Management

AI Architecture: RAG, Vector Search, Embeddings, AI Agents, Multi-Step AI Workflows

Architecture: Multi-Tenant Applications, Row-Level Security, Scalable Application Architecture

DevOps / Cloud: CI/CD, Docker, Containerization, Cloud-Native Deployment, Deployment Automation, Observability

Education

Bachelor's/Master's degree in Computer Science, Information Technology, Engineering, or a related field.