Skip to main content
David Careers

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

Posted today

techdigital groupBurbank (CA)
Computer Systems AnalystsSoftware Publishers

SENIORITY

Lead

Apply (opens in a new tab)

About the role

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 StackArea 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 streamingAI / LLM: LLM APIs, tool calling, structured JSON outputs, orchestration, conversation stateAI 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

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this