Remote Position
[Remote] Contract role: Java Full Stack AI Engineer at Miami, FL (Remote) - Open for W2
๐ Remote ยท United States
๐ผ Full-time
Note: The job is a remote job and is open to candidates in USA. Yochana is recruiting for an unnamed client seeking a Full-Stack AI Engineer to design, build, and scale production-grade AI applications. The role focuses on full-stack development, real-time AI interfaces, LLM integrations, RAG pipelines, and scalable multi-tenant architecture.
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
Skills
- 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
- 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
- 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
Benefits
- Remote work (Miami, FL).
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