Senior Full-Stack AI Engineer: Real-Time UIs & RAG Pipelines

TechDigital Group; Burbank (CA); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

TechDigital Group seeks an experienced Full-Stack AI Engineer to design, build, and scale production-grade AI applications. You will combine frontend excellence with backend Node.js and Python expertise, integrating LLM APIs and building real-time streaming interfaces for multi-tenant systems.

You will own the UI lifecycle from wireframe to production, implement SSE/WebSockets streaming, and ensure secure, scalable architectures.

Qualifikationen

• Experience designing large-scale full-stack AI applications.
• Proven ability to build scalable, multi-tenant web platforms.
• Expertise integrating LLM APIs and orchestration workflows.
• Experience with real-time streaming interfaces and modern frontend tech.

Aufgaben

• Design and develop scalable full-stack AI apps using React, Next.js, TS, Node.js, and Python.
• Own the full UI lifecycle from wireframe to production, ensuring accessibility and performance.
• Develop streaming interfaces using SSE and WebSockets.
• Implement token-level streaming for real-time AI rendering.
• Build and maintain RESTful APIs and async backend services.
• Integrate LLM APIs, tool calling, and multi-step AI workflows.
• Collaborate with AI/ML engineers to render structured JSON outputs in the frontend.
• Design scalable multi-tenant architectures with row-level security.
• Build and optimize RAG pipelines and AI agent workflows.
• Support CI/CD and cloud-native deployment operations.
• Collaborate with distributed teams and product teams.

Kenntnisse

React

TypeScript

REST APIs

Async backend

LLM integration

SSE/WebSockets

UI streaming

Multi-tenant

RAG pipelines

CI/CD

Cloud-native

Tools

Node.js

Python

Jobbeschreibung

TechDigital Group seeks an experienced Full-Stack AI Engineer to design, build, and scale production-grade AI applications. You will combine frontend excellence with backend Node.js and Python expertise, integrating LLM APIs and building real-time streaming interfaces for multi-tenant systems.

You will own the UI lifecycle from wireframe to production, implement SSE/WebSockets streaming, and ensure secure, scalable architectures.