Job Summary
We are seeking an experienced Full-Stack AI Engineer to design, build, and scale production-grade AI applications. The ideal candidate combines strong frontend expertise in React, Next.js, and TypeScript with backend development in Node.js and Python, and has hands-on experience integrating LLM APIs, real‑time streaming interfaces, RAG pipelines, AI agent workflows, and scalable multi‑tenant architectures.
Key Responsibilities
- Design and develop scalable full-stack AI applications using React, Next.js, TypeScript, Node.js, and Python.
- Own the full UI lifecycle from wireframe through production, including accessibility, responsiveness, and performance optimization.
- Develop streaming conversational interfaces using Server-Sent Events (SSE) and WebSockets.
- Implement token-level streaming for real‑time AI response rendering.
- Build and maintain RESTful APIs and asynchronous backend services.
- Integrate and orchestrate LLM APIs, tool calling, and multi‑step AI workflows.
- Collaborate with AI/ML engineers to integrate structured JSON outputs into frontend rendering pipelines.
- Design scalable multi‑tenant architectures with row-level security.
- Build and optimize Retrieval‑Augmented Generation (RAG) pipelines and AI agent workflows.
- Support deployment automation, CI/CD, and cloud‑native infrastructure operations.
- Collaborate effectively with globally distributed engineering and product teams.
- Overall understanding of Oracle ADF & JAVA frameworks.
Skill Requirements
- 7+ years of professional experience with React and TypeScript.
- 7+ years of experience designing REST APIs and asynchronous backend systems.
- 5+ years of experience building applications using React and Next.js.
- 3+ years of experience integrating LLM APIs into production applications.
- 3+ years of experience implementing streaming UI patterns using SSE or WebSockets.
- Strong experience building scalable multi‑tenant applications.
- Hands‑on experience with Node.js and Python backend development.
- Experience with AI orchestration workflows and conversation state management.
Preferred Technical Expertise
- Experience with RAG architectures, vector search, embeddings, and AI agent frameworks.
- Overall understanding of ADF & JAVA frameworks Understanding of LLM tool/function calling, structured outputs, prompt orchestration, and stateful conversational applications.
- Experience with cloud‑native deployment patterns, containerization, observability, and CI/CD.
- Strong understanding of frontend performance, accessibility standards, secure API design, and production engineering best practices.
Other Requirements
Technologies / Capabilities
- Frontend React, Next.js, TypeScript, responsive UI, accessibility, performance optimization
- Backend Node.js, Python, RESTful APIs, asynchronous services
- Real‑Time SSE, WebSockets, token‑level streaming
- AI / LLM LLM APIs, tool calling, structured JSON outputs, orchestration, conversation state
- AI Architecture RAG pipelines, AI agents, multi‑step workflows
- Architecture Scalable multi‑tenant applications, row‑level security
- DevOps / Cloud CI/CD, deployment automation, cloud‑native infrastructure