Senior Full-Stack Engineer - AI Platform (Remote)

Mass Tech LLC

Greensboro (NC)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Flexible hours
Remote work

Job summary

MASS Tech LLC in Greensboro, NC seeks a Senior Full Stack Engineer to lead development of a Google-native AI platform that uses Retrieval-Augmented Generation and Gemini LLMs. You will shape architecture from data ingestion to frontend UX, integrating real-time data and technical docs to empower field operators.

The role covers cloud-first design, scalable APIs, and a Next.js frontend, with a remote-first culture and competitive compensation.

Qualifications

  • 5+ years of professional software engineering experience including backend systems, cloud platforms, and frontend development.

Responsibilities

  • Own the full lifecycle of MASS Tech’s Firestore-based vector RAG platform from design to deployment.
  • Design and implement serverless ingestion pipelines that extract, process, and embed technical PDFs using Vertex AI for semantic indexing.
  • Develop and optimize Firestore-native vector search with equipment-specific filtering for precise retrieval.
  • Build and maintain a responsive, secure Next.js frontend for public QR access, interactive chat interfaces, and real-time dashboards.
  • Architect and manage scalable APIs using Cloud Run and Firebase Functions to support high-traffic, low-latency use cases.
  • Integrate Vertex AI Gemini to generate real-time, citation-aware responses within the user interface.
  • Collaborate with product, design, and AI teams to refine prompts, UX flows, and context management.
  • Implement observability, monitoring, and performance optimization for low latency and cost-effective operation.

Skills

Backend systems
Cloud platforms
Frontend development
GCP Vertex AI
Firestore
Cloud Functions
Firebase
LLM RAG
API architecture

Tools

Vertex AI
Firestore
Cloud Run
Firebase

Job description

MASS Tech LLC in Greensboro, NC seeks a Senior Full Stack Engineer to lead development of a Google-native AI platform that uses Retrieval-Augmented Generation and Gemini LLMs. You will shape architecture from data ingestion to frontend UX, integrating real-time data and technical docs to empower field operators.

The role covers cloud-first design, scalable APIs, and a Next.js frontend, with a remote-first culture and competitive compensation.

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