SAP SD/OTC Expert — S4 HANA Billing & Service Sales

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

Role 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.

Day-to-Day 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.

Basic Qualifications

• 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.

Core Technology Stack

Area 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